DigitalOcean

You would guide key customers on cloud adoption and architecture while representing their needs to internal engineering and support teams. | The role requires cloud infrastructure, Linux, automation tooling, programming experience, and customer-focused stakeholder management. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud. Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success. This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization. What You Will Be Doing: As a Senior Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure. What You Will Be Doing: Technical Consultation & Architecture Design: Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem. Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders. Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments. Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework. Proactive Customer Engagement & Growth: Manage and maintain DigitalOcean’s key accounts Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads. Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth. Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments. Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals. Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption. Advocacy & Cross-Functional Collaboration: Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes. Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences. Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers. Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer. Tooling & Efficiency: Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions. Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies. What We’ll Expect From You: Technical Expertise: Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation. Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go). Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker. Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure). Proven track record of successfully troubleshooting technical problems. Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles. Customer-Centric Approach: Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals. Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations. Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth. Experience advocating for customer needs and translating feedback into actionable insights. Communication Skills: Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences. Ability to create and deliver technical presentations and training sessions that resonate with customer needs. Adaptability & Initiative: Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems. Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions. Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments. Extra Credit: Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML. Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL). Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API. Linux certifications (e.g., RHCSA/RHCE) Experience working with large CRMs like Gainsight and Salesforce Compensation Range: $115,000 - $145,000 *This is a remote role JR: 2026-8340 #LI-Remote Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture. We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy. We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan. Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance. Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

You will architect, deploy, and optimize production AI workloads for strategic customers while providing feedback to improve the cloud platform. | Requires 6+ years in forward deployed engineering, ML engineering, or AI infrastructure, with deep expertise in GPU platforms, distributed systems, and AI orchestration frameworks. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a Senior Forward Deployed Engineer II (FDE) who is passionate about operationalizing production AI-native and agentic workloads at scale. This is a high-impact role designed to serve as the “technical tip of the spear” for DigitalOcean’s most strategic AI-native customers and platform initiatives. As an FDE, you will operate at the intersection of Product Engineering, AI Infrastructure, and Customer Implementation. You will partner deeply with strategic AI-native enterprises (ANEs), startups, infrastructure vendors, and internal engineering teams to deploy, optimize, and scale production AI systems on DigitalOcean’s AI-Native Cloud. This role extends beyond traditional GPU infrastructure deployment. You will work across Inference Engine, runtime systems, orchestration frameworks, and AI-native applications to help customers operationalize production AI and agentic systems with strong focus on scalability, reliability, latency, and workload economics. FDE engineers also act as the “first customer” for new AI-native platform capabilities. You will validate products under real-world workloads, surface operational insights and architectural gaps, and help accelerate product maturity through continuous feedback loops with Product Engineering and Research teams. You will build scalable deployment frameworks, benchmarking systems, automation tooling, and AI starter kits that transform field learning into reusable platform intelligence and repeatable deployment patterns across the DigitalOcean ecosystem. Your mission is to accelerate production adoption of AI-native systems while helping shape the future of DigitalOcean’s AI-Native Cloud for the inference and agentic era. What You’ll Do: Strategic AI Workload Operationalization: Partner with strategic ANEs and AI startups to architect, deploy, optimize, and scale production AI and agentic systems on DigitalOcean’s AI-Native Cloud. Support complex migrations, production-ready PoCs, deployment acceleration, and long-term workload expansion across inference and runtime platforms. AI Performance & Systems Engineering: Optimize distributed inference and runtime performance through benchmarking, GPU efficiency tuning, KV-cache optimization, speculative decoding, prefill/decode disaggregation, multi-node deployments, and latency/cost optimization. Platform Validation & Product Acceleration: Act as the “first customer” for DigitalOcean’s AI-native platform capabilities including Inference Engine, runtimes, orchestration systems, GPU platforms, and deployment workflows. Surface real-world operational insights, architectural gaps, and scaling bottlenecks directly to Product Engineering and Research teams. Platform Intelligence & Automation: Build scalable deployment assets including benchmarking systems, automation tooling, AI starter kits, deployment frameworks, operational playbooks, finetuning workflows, and reference architectures that improve deployment velocity and platform adoption. Ecosystem & Technical Enablement: Collaborate with GPU vendors, model providers, infrastructure partners, and ISVs on co-development, technical validation, optimization, and launch readiness. Enable customer-facing technical teams and partner teams through validated deployment patterns, benchmarking insights, operational playbooks, reference architectures, demos, and technical guidance that help scale adoption of DigitalOcean’s AI-native platform. Travel: Ability to travel up to 30% for customer engagements, strategic onsite workshops, ecosystem partnerships, conferences, and internal collaboration. Key Metrics Customer Adoption & Production Success: Measured by high-impact production workloads launched, reduction in time-to-production, pilot-to-production conversion rates, and expansion of AI-native platform adoption across strategic customers. Platform Intelligence & Product Influence: Measured by product improvements, roadmap influence, validated customer hypotheses, and operational insights generated from real-world production deployments. Asset & Tooling Delivery: Measured through adoption of FDE-built frameworks, automation tooling, benchmarking systems, operational playbooks, and reference architectures across customers and internal teams. Field Enablement & Ecosystem Scale: Measured through successful enablement of customer-facing teams, ecosystem collaboration outcomes, and adoption of FDE deployment standards across the AI-native ecosystem. What You’ll Add to DigitalOcean AI-Native Systems & Architecture Expertise: Experience designing and operationalizing production AI systems including inference workloads, agentic runtimes, orchestration frameworks, and AI-native applications. Strong hands-on experience with inference and serving frameworks such as vLLM, SGLang, Ray Serve, NVIDIA Dynamo, llm-d, or equivalent systems, along with LLM optimization techniques including continuous batching, quantization, KV-cache optimization, and speculative decoding.Distributed Systems & Infrastructure Mastery: Deep expertise with NVIDIA and AMD GPU platforms and their software ecosystems including CUDA, ROCm, TensorRT, Triton, NCCL, RCCL, NVLink, XGMI, and RoCE. Strong proficiency with Kubernetes (K8s), distributed systems, networking, storage systems, Infrastructure as Code, and large-scale AI infrastructure architectures.Runtime & Orchestration Systems: Experience with AI orchestration and agent frameworks such as LangGraph, CrewAI, MCP ecosystems, LlamaIndex, OpenAI Agents SDK, or similar runtime systems. Understanding of workflow orchestration, deployment systems, memory patterns, and AI-native application architectures.Software Engineering & Automation: Strong production coding skills in Python or Go with experience building tooling, automation systems, deployment workflows, benchmarking frameworks, and operational platforms.Performance & Operational Intelligence: Proven ability to benchmark and optimize AI infrastructure with strong focus on scalability, reliability, GPU efficiency, runtime performance, latency optimization, and workload economics.Consultative & Cross-Functional Execution: Ability to establish technical credibility with CTOs, Principal architects, Product Engineering teams, and ecosystem partners while managing high-impact production deployments and strategic technical initiatives. Preferred Qualifications AI Infrastructure & Forward Deployed Engineering Experience: 6+ years of experience working in Forward Deployed Engineering, ML Engineer, Applied AI Engineer, AI Infrastructure, Technical Consulting, or equivalent customer-facing engineering roles supporting production AI systems. Platform Enablement & Ecosystem Experience: Experience building deployment standards, technical enablement programs, platform adoption frameworks, or ecosystem integration strategies across customer-facing and engineering organizations. Open Source & AI Ecosystem Involvement: Active contributor to open-source AI, infrastructure, orchestration, or developer tooling ecosystems. Vendor & Strategic Partnership Collaboration: Experience collaborating with GPU vendors, infrastructure providers, model vendors, or ecosystem partners on benchmarking, optimization, technical validation, or launch readiness initiatives. Compensation Range: $167,000 - $209,000 *This is a remote role JR: 2026-8207 #LI-Remote Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Lead initiatives building distributed control-plane services and core infrastructure, from system design through release, while mentoring engineers. | Requires extensive Go and microservices experience, distributed control-plane or low-latency infrastructure API work, and deep expertise in concurrency and Linux network performance. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a Senior Software Engineer I who is passionate about building features that you and your peers will love. As a Senior Software Engineer I, reporting to Mavis Franco (Manager, Software Engineering) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. In this role, you will lead complex technical initiatives across our distributed control plane, building high-throughput microservices and core infrastructure products. You will tackle deep systems-level challenges using Go, mentor rising engineers, and drive technical execution across our low-latency distributed control plane to power the next generation of cloud compute services. What You’ll Do: Design and implement high-performance distributed control plane services using Go in order to ensure low-latency and fault-tolerant orchestration across core compute infrastructure. Lead technical execution for complex project workstreams from design to release in order to deliver predictable business outcomes on targeted timelines. Develop scalable microservice interfaces using gRPC and REST in order to streamline communication and maintain reliable service contracts across distributed systems. Mentor junior and mid-level engineers through technical guidance and structured code reviews in order to elevate team execution and code quality standards. Solve complex distributed systems edge cases and operational bottlenecks in order to optimize platform resilience and maximize system uptime. Identify structural process and architectural inefficiencies in order to continuously refine build pipelines, service boundaries, and operational workflows. Participate in on-call operational support and system monitoring in order to troubleshoot production incidents rapidly and maintain high platform availability. What You’ll Add: Experience with Go, microservices architecture, and building distributed control plane systems or low-latency infrastructure APIs. Experience with containerization, virtualization, or cloud-native infrastructure technologies (e.g., Kubernetes or Firecracker). A deep understanding of distributed systems principles, concurrency patterns, and network performance tuning in Linux environments. Demonstrated ability to lead complex projects, break isolated problems into deliverable features, and mentor engineers to drive team efficiency. Growth Mindset focused with a desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude towards system architecture and code maintainability. Compensation Range: $139,200 - $174,000 *This is a remote role JR: 2026-8130 #LI-Remote Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

You would own complex sales deals end-to-end, advise stakeholders on deal structure and approvals, and improve deal desk processes, systems, and team practices. | The role requires 5–7+ years of deal desk, finance, pricing, or sales operations experience, plus SaaS or technology sales exposure, Salesforce and CPQ fluency, and process-improvement skills. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are seeking a Deal Strategy Program Manager to help us scale how we support our sales organization. This role is a critical partner to sales and collaborates closely with Finance, Legal, and Revenue Operations, helping move deals forward with speed, sound judgment, and operational rigor. Beyond executing day-to-day deal support, this role independently owns complex deals end-to-end, shapes the processes and systems the broader team relies on, and is a go-to resource for less-experienced teammates. You'll play a central role in structuring deals, improving process quality, and helping our sales team close business efficiently and responsibly. We're looking for someone who operates with real autonomy, exercises sound judgment in ambiguous situations, and is energized by solving problems in a fast-paced environment. This is a strong next step for someone who has built foundational deal desk or revenue operations experience and is ready to own outcomes independently, influence process and policy, and begin mentoring others. What You'll Do Own Deal Execution • Serve as a senior, trusted advisor to Sales leadership and cross-functional stakeholders on structuring and executing complex, non-standard, and high-value deals • Independently evaluate and resolve non-standard deal requests, driving cross-functional solutions across Sales, Finance, and Legal with minimal oversight • Own deals end-to-end through quoting, approval, contracting, and quote-to-cash — troubleshooting issues with Finance and Legal with urgency, accuracy, and attention to policy and business context • Ensure all transactions adhere to internal revenue recognition policies, escalating and resolving edge cases as needed • Present deal strategy recommendations and insights to senior stakeholders in a clear, concise, data-driven manner Elevate Operational Quality • Ensure deal data is complete and accurate in CRM, with a focus on data hygiene and process compliance • Reinforce and help enforce pricing and discounting governance, exercising judgment in gray areas rather than simply applying rules • Define requirements for system enhancements (e.g., CRM, CPQ) in partnership with systems and RevOps teams Drive Process Improvement & Scale • Proactively identify friction in current processes and lead improvements — including automation and AI (e.g., AI-assisted contract review, quote generation, deal analytics) — to increase speed, consistency, and scale, and reduce manual effort • Own the optimization of policies, playbooks, and standard operating procedures for deal support, and lead their rollout and adoption across the global team • Act as a go-to resource for other analysts on sales operations planning, process, and execution Support & Mentor • Informally mentor newer Revenue Operations Support Analysts on deal structuring, systems, and policy • Contribute to internal knowledge-sharing — documentation, training sessions, and onboarding materials — recommending process changes and leading training so improvements scale beyond a single deal What You'll Add To DigitalOcean • Business Degree • 5-7+ years of experience (Deal Desk, Finance, Pricing or Sales Operations experience required), software industry experience preferred. • Demonstrated experience independently owning complex deals or projects, not just executing defined tasks • Experience supporting SaaS, cloud, or technology sales organizations • Strong fluency in systems like Salesforce, CPQ tools, and reporting platforms, with an eye toward data integrity for downstream reporting and forecasting • Sound judgment for navigating ambiguous or non-standard deal situations, knowing when to escalate versus resolve independently • A track record of recommending and helping implement process or policy improvements • Contract management and negotiation experience strongly preferred • Strong analytical and problem-solving skills with first-principles thinking • Self-starter mentality with a proactive eagerness to learn, mentor others, and level up the revenue operations team • Ability to manage multiple priorities and competing stakeholder needs in a fast-paced environment • Experience using or implementing AI or automation tools (e.g., generative AI, workflow automation, CPQ automation) to improve deal desk efficiency and accuracy a plus Compensation Range • $90,000 - $120,000 • This is a remote role JR: 2026-8286 Why You’ll Like Working for DigitalOcean • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Manage recruiting systems, processes, and data hygiene to enable scalable talent acquisition operations. | Requires 5+ years recruiting operations experience, 2+ years managing people or projects, ATS expertise, and strong communication skills. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. DigitalOcean is looking for a Recruiting Operations & Enablement Manager to own the systems, processes, and infrastructure that power our recruiting function. This is a hands-on role: you'll manage the day-to-day health of our recruiting tech stack, build the operational rigor that lets recruiting scale cleanly as the business grows, and partner closely with recruiters and People teams to remove friction from the hiring process. You're equally comfortable setting operational strategy and getting into the weeds of an ATS workflow, a scheduling exception, or a messy report. You build things that hold up as the company scales including the documentation and data hygiene expected of a public company. What You'll Do • Own the strategy and day-to-day operation of our recruiting systems, including our ATS and scheduling/coordination tooling, ensuring they're configured, adopted, and running smoothly across the recruiting org. • Build and document repeatable, scalable processes that hold up as headcount and hiring volume grow. • Own data hygiene and reporting across recruiting systems: clean requisition data, accurate candidate and pipeline records, and dashboards recruiting and business leaders can trust. • Partner with recruiters to identify the biggest sources of friction and manual work, then prioritize and build solutions — whether that's a new workflow, automation, or process redesign leveraging AI and tools. • Evaluate and implement new recruiting technology and AI-enabled tools that make the team meaningfully more effective, and manage vendor relationships with a focus on ROI. • Work as a close partner to People Operations, Legal and Finance on shared processes such as offer letter management, background checks, and headcount approvals, ensuring clean handoffs. • Define success metrics for recruiting operations and use data to drive continuous improvement across the candidate and interviewer experience. • Build and maintain processes with the rigor and auditability expected of a public company, anticipating compliance needs before they're required. What You’ll Add To DigitalOcean • 5+ years of experience in recruiting operations, with hands-on experience in recruiting coordination, systems administration, and process design. • 2+ years of experience managing people or leading cross-functional workstreams. • Proven experience building and documenting processes that are repeatable and support data hygiene across recruiting systems. • Strong command of ATS platforms (e.g., Greenhouse, Ashby, Workday) and recruiting/scheduling tools. • A data-driven approach to program management, with experience building KPIs, dashboards, and translating insights into action. • Comfortable experimenting with AI tools and automation (e.g., Zapier, scripts, AI-powered workflows) to reduce manual work. • Excellent communication skills — able to earn buy-in and drive adoption across teams without relying on formal authority. • Bachelor's degree or equivalent experience. Nice to Have • Experience in a high-growth, publicly traded tech company, particularly with SOX-related process considerations. • Familiarity with employer branding, referral programs, or other recruiting programs work. • Experience partnering directly with People Operations on offer management and background checks. Compensation Range • $120,000 - $150,000 • This is a remote role JR: 2026-8311 Why You’ll Like Working for DigitalOcean • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Own recruiting systems and workflows, improve process scalability and data quality, and use reporting and automation to strengthen recruiting operations. | Requires 5+ years in recruiting operations with ATS and coordination-tool experience, process documentation and data hygiene expertise, and people management or cross-functional leadership experience. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. DigitalOcean is looking for a Recruiting Operations & Enablement Manager to own the systems, processes, and infrastructure that power our recruiting function. This is a hands-on role: you'll manage the day-to-day health of our recruiting tech stack, build the operational rigor that lets recruiting scale cleanly as the business grows, and partner closely with recruiters and People teams to remove friction from the hiring process. You're equally comfortable setting operational strategy and getting into the weeds of an ATS workflow, a scheduling exception, or a messy report. You build things that hold up as the company scales including the documentation and data hygiene expected of a public company. What You'll Do • Own the strategy and day-to-day operation of our recruiting systems, including our ATS and scheduling/coordination tooling, ensuring they're configured, adopted, and running smoothly across the recruiting org. • Build and document repeatable, scalable processes that hold up as headcount and hiring volume grow. • Own data hygiene and reporting across recruiting systems: clean requisition data, accurate candidate and pipeline records, and dashboards recruiting and business leaders can trust. • Partner with recruiters to identify the biggest sources of friction and manual work, then prioritize and build solutions — whether that's a new workflow, automation, or process redesign leveraging AI and tools. • Evaluate and implement new recruiting technology and AI-enabled tools that make the team meaningfully more effective, and manage vendor relationships with a focus on ROI. • Work as a close partner to People Operations, Legal and Finance on shared processes such as offer letter management, background checks, and headcount approvals, ensuring clean handoffs. • Define success metrics for recruiting operations and use data to drive continuous improvement across the candidate and interviewer experience. • Build and maintain processes with the rigor and auditability expected of a public company, anticipating compliance needs before they're required. What You'll Add to DigitalOcean • 5+ years of experience in recruiting operations, with hands-on experience in recruiting coordination, systems administration, and process design. • 2+ years of experience managing people or leading cross-functional workstreams. • Proven experience building and documenting processes that are repeatable and support data hygiene across recruiting systems. • Strong command of ATS platforms (e.g., Greenhouse, Ashby, Workday) and recruiting/scheduling tools. • A data-driven approach to program management, with experience building KPIs, dashboards, and translating insights into action. • Comfortable experimenting with AI tools and automation (e.g., Zapier, scripts, AI-powered workflows) to reduce manual work. • Excellent communication skills — able to earn buy-in and drive adoption across teams without relying on formal authority. • Bachelor's degree or equivalent experience. Nice to Have • Experience in a high-growth, publicly traded tech company, particularly with SOX-related process considerations. • Familiarity with employer branding, referral programs, or other recruiting programs work. • Experience partnering directly with People Operations on offer management and background checks. Compensation Range: • $120,000 - $150,000 • This is a remote role JR: 2026-8311 #LI-Remote Why You'll Like Working for DigitalOcean • We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Develop control plane software, APIs, and tools to improve DNS product performance and reliability while collaborating on scalable architecture and network services. | Requires full-stack development experience, Go programming, Linux operation, DNS and networking domain knowledge, and a relevant bachelor's or postgraduate degree. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. As a Senior Software Engineer 1 at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role will be on the DNS Products team, reporting to the Engineering Manager, where you will write control plane software: developing APIs, troubleshooting and improving the customer experience, and helping the team to own some of the product offerings end-to-end. Our team is passionate about quality, performance, and the reliability of the Network Products product suite and is excited about the impact our work has on the company and customers. What You’ll Do: Work as a member of the team on the implementation, testing and optimization of new services and tools that run at scale and solve performance and monitoring problems. Work with other teams within Networking to build the next generation of products and services for our developers community. Support existing products and contribute creative solutions to the pain points. Help improve our toolings and process to ship robust and mission-critical parts of the ecosystem. Help establish best practices for development and architecture and ways to achieve them Use technologies and tools such as: Go, Consul, Kafka, SQL, Chef, Git, Jira, gRPC, Prometheus, Grafana, Lightstep, Docker, DNS, and Kubernetes What You'll Add to DigitalOcean: Experience designing and developing full-stack applications with databases and API Experience with leading work across multiple teams to build API contracts Experience deploying and operating Linux (Ubuntu) based virtual and bare metal hosts. Experience with Go programming language and unit tests Some experience designing and developing high performance systems Some domain knowledge of DNS and Networking stack or a strong willingness to learn Experience with cloud development, containerization and virtualization Experience with Continuous Integration and Delivery (CI/CD) Bonus: You have used gRPC to build robust distributed and high-demand systems Bonus: Working knowledge of Temporal and Kafka B.S/M.S in Computer Science or relevant and equivalent experience. Compensation Range: $139,200 - $174,000 *This is a hybrid role JR: 2026-8222 #LI-Hybrid Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Lead design and implementation of scalable network services and mentor engineers. | Significant experience as software architect and lead developer in scalable distributed systems using Go and networking/cloud technologies. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. As a Senior Software Engineer 2 at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role will be on the Network Products team, reporting to the Engineering Manager, where you will write control plane and data plane software: developing APIs, troubleshooting and improving the customer experience, and helping the team to own some of the product offerings end-to-end. Our team is passionate about quality, performance, and the reliability of the Network Products product suite and is excited about the impact our work has on the company and customers. What You’ll Do: Lead the design, implementation, test and optimization of new services and tools that run at scale and solve performance and monitoring problems. Work with other teams within Networking and across the company to build the next generation of products and services for our developers community. Support existing products and contribute creative solutions to the pain points. Help improve our toolings and process to ship robust and mission-critical parts of the ecosystem. Establish best practices for development and architecture Use technologies and tools such as: Go, Consul, Kafka, SQL, Chef, Git, Jira, gRPC, Prometheus, Grafana, Lightstep, Docker, DNS, eBPF, XDP, and Kubernetes Help to grow and mentor other engineers within Networking What You'll Add to DigitalOcean: Significant experience as a software architect and lead developer in building scalable, real-time, and distributed systems Significant experience with Go programming language and unit tests Domain knowledge of Networking stack and an eagerness to learn more Experience with leading work across multiple teams to build API contracts Experience with cloud development, containerization and virtualization Experience with Continuous Integration and Delivery (CI/CD) Some experience with data plane programming like eBPF and XDP Record of creating sweeping improvements in stability, performance and scalability across major business-critical systems Record of automating the steps necessary to deliver high-quality, well-tested, and production-ready software from initial development to ongoing, scalable, production operation. Bonus: You have used gRPC to build robust distributed and high-demand systems Bonus: Experience with Firewall, DNS and Network Monitoring systems development Bonus: Working knowledge of Temporal and Kafka B.S/M.S in Computer Science or relevant and equivalent experience. Compensation Range: $167,200 - $209,000 *This is a hybrid role JR: 2026-8145 #LI-Hybrid Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Develop and optimize high-performance network datapath software for cloud infrastructure. | Strong experience in C/C++/Go, deep networking knowledge, Linux networking systems, and hardware-accelerated networking technologies. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. About The Role DigitalOcean is looking for a Senior Software Engineer, Network Datapath to help build and evolve the software that powers high-performance networking across our cloud infrastructure. You will work at the intersection of networking, operating systems, distributed systems, and high-performance software, developing datapath technologies that enable DigitalOcean to deliver high throughput, low latency, and predictable network performance at scale. This role will focus on the software running in and around the network datapath, including packet processing, forwarding, routing, acceleration, observability, and integration with host and hardware-based networking components. You will work closely with Network Infrastructure, Compute, Availability, and hardware teams to design, implement, optimize, and operate production networking systems. The ideal candidate is a strong software engineer with deep networking knowledge who enjoys working close to the system and is excited about optimizing the path that packets take through cloud infrastructure. What You'll Be Doing • Design, develop, and optimize high-performance network datapath software for DigitalOcean's cloud infrastructure. • Build and improve packet-processing and forwarding systems with a focus on throughput, latency, CPU efficiency, scalability, and reliability. • Develop networking functionality across the host, kernel, user space, and hardware-accelerated datapath. • Work with technologies such as Linux networking, eBPF, XDP, DPDK, AF_XDP, SR-IOV, and programmable datapaths. • Analyze packet-processing paths and identify opportunities to eliminate bottlenecks and improve performance. • Develop software for routing, packet filtering, encapsulation, tunneling, load balancing, traffic steering, and network virtualization. • Build and improve datapath observability, telemetry, debugging, and performance monitoring. • Design software that integrates with DPUs, SmartNICs, programmable NICs, and other hardware acceleration technologies. • Develop automated testing and benchmarking frameworks to validate datapath correctness and performance. • Investigate complex production networking issues, including packet drops, latency, throughput degradation, CPU utilization, and unexpected traffic behavior. • Work with Network Infrastructure and Compute engineers to integrate datapath functionality into DigitalOcean's broader infrastructure architecture. • Contribute to the design and implementation of next-generation network architectures. • Author RFCs, architecture documents, technical proposals, design documents, and implementation plans to drive complex networking initiatives. • Clearly document technical decisions, tradeoffs, performance characteristics, dependencies, and operational considerations. • Participate in design reviews and provide technical guidance to other engineers. • Mentor engineers and contribute to improving software engineering and networking practices across the organization. What We're Looking For • Strong experience designing and developing production software in C, C++, or Go. • Strong understanding of networking and packet processing. • Experience developing software for Linux-based networking systems. • Solid understanding of networking concepts including TCP/IP, routing, switching, VLANs, VXLAN, BGP, ECMP, NAT, load balancing, and network virtualization. • Experience debugging and optimizing performance-sensitive systems. • Understanding of Linux networking internals, including the Linux kernel networking stack, network namespaces, sockets, queues, interrupts, and NIC drivers. • Experience with one or more high-performance networking technologies such as DPDK, XDP, eBPF, AF_XDP, or SR-IOV. • Experience with multithreaded and concurrent software. • Strong understanding of performance analysis, profiling, benchmarking, and troubleshooting. • Ability to reason about complex systems across hardware, operating systems, networking, and applications. • Ability to independently drive projects from technical design through implementation and production deployment. • Strong technical writing skills, with the ability to produce RFCs, architecture/design documents, technical proposals, and other documentation required to drive engineering projects. • Strong communication skills and ability to work effectively across engineering teams. Experience With Hardware-accelerated Networking Is Highly Valuable. This Includes • Experience developing software for DPUs, SmartNICs, IPUs, or programmable NICs. • Understanding how functionality can be distributed between host CPUs, NICs, DPUs, and switches. • Experience with DPU-based networking, security, storage, virtualization, or packet processing. • Experience with programmable datapaths such as P4, eBPF, or other programmable data-plane technologies. • Understanding of PCIe, DMA, queues, interrupts, RSS, offloads, and NIC hardware architecture. At the Senior Engineer level, you will be expected to: • Own significant technical components and deliver them from design through production. • Solve complex performance and reliability problems in the network datapath. • Make sound technical decisions based on measurable performance and operational requirements. • Develop scalable solutions rather than one-off fixes. • Proactively identify architectural and performance bottlenecks. • Work effectively across Network Infrastructure, Compute, Security, and other engineering organizations. • Produce clear RFCs and technical documentation that enable teams to align on complex architectural decisions. • Mentor other engineers and raise the technical bar within the team. • Use AI and modern engineering tools to increase personal and team leverage and accelerate delivery. Nice to Have • Experience working on cloud networking or hyperscale infrastructure. • Experience developing Linux kernel networking code or NIC drivers. • Experience with DPDK, XDP, eBPF, AF_XDP, or DPU-based datapaths in production. • Experience with 400G+ networking. • Experience with high-performance packet processing at 10/25/40/100/200/400G+ speeds. • Experience with network virtualization and overlay technologies such as VXLAN/EVPN. • Experience with programmable switches. • Experience with performance analysis using tools such as perf, eBPF tooling, flame graphs, or hardware performance counters. • Experience building network datapath tests and benchmarking infrastructure. • Contributions to Linux, DPDK, eBPF, OVS, or other networking/open-source projects. Why DigitalOcean This role provides an opportunity to work on some of the most performance-sensitive software in DigitalOcean's infrastructure. The network datapath is foundational to the performance, scalability, and reliability of our cloud platform. You will help shape the evolution from traditional host-based networking toward highly optimized, programmable, and hardware-accelerated datapaths, while solving challenging problems across software, operating systems, networking, and hardware. Compensation Range • $167,200 - $209,000 • This is a remote role JR: 2026-8151 Why You’ll Like Working for DigitalOcean • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Develop and optimize high-performance network datapath software for cloud infrastructure. | Strong experience in C/C++/Go, deep networking knowledge, Linux networking internals, and hardware-accelerated networking technologies. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. About The Role DigitalOcean is looking for a Senior Software Engineer, Network Datapath to help build and evolve the software that powers high-performance networking across our cloud infrastructure. You will work at the intersection of networking, operating systems, distributed systems, and high-performance software, developing datapath technologies that enable DigitalOcean to deliver high throughput, low latency, and predictable network performance at scale. This role will focus on the software running in and around the network datapath, including packet processing, forwarding, routing, acceleration, observability, and integration with host and hardware-based networking components. You will work closely with Network Infrastructure, Compute, Availability, and hardware teams to design, implement, optimize, and operate production networking systems. The ideal candidate is a strong software engineer with deep networking knowledge who enjoys working close to the system and is excited about optimizing the path that packets take through cloud infrastructure. What You'll Be Doing • Design, develop, and optimize high-performance network datapath software for DigitalOcean's cloud infrastructure. • Build and improve packet-processing and forwarding systems with a focus on throughput, latency, CPU efficiency, scalability, and reliability. • Develop networking functionality across the host, kernel, user space, and hardware-accelerated datapath. • Work with technologies such as Linux networking, eBPF, XDP, DPDK, AF_XDP, SR-IOV, and programmable datapaths. • Analyze packet-processing paths and identify opportunities to eliminate bottlenecks and improve performance. • Develop software for routing, packet filtering, encapsulation, tunneling, load balancing, traffic steering, and network virtualization. • Build and improve datapath observability, telemetry, debugging, and performance monitoring. • Design software that integrates with DPUs, SmartNICs, programmable NICs, and other hardware acceleration technologies. • Develop automated testing and benchmarking frameworks to validate datapath correctness and performance. • Investigate complex production networking issues, including packet drops, latency, throughput degradation, CPU utilization, and unexpected traffic behavior. • Work with Network Infrastructure and Compute engineers to integrate datapath functionality into DigitalOcean's broader infrastructure architecture. • Contribute to the design and implementation of next-generation network architectures. • Author RFCs, architecture documents, technical proposals, design documents, and implementation plans to drive complex networking initiatives. • Clearly document technical decisions, tradeoffs, performance characteristics, dependencies, and operational considerations. • Participate in design reviews and provide technical guidance to other engineers. • Mentor engineers and contribute to improving software engineering and networking practices across the organization. What We're Looking For • Strong experience designing and developing production software in C, C++, or Go. • Strong understanding of networking and packet processing. • Experience developing software for Linux-based networking systems. • Solid understanding of networking concepts including TCP/IP, routing, switching, VLANs, VXLAN, BGP, ECMP, NAT, load balancing, and network virtualization. • Experience debugging and optimizing performance-sensitive systems. • Understanding of Linux networking internals, including the Linux kernel networking stack, network namespaces, sockets, queues, interrupts, and NIC drivers. • Experience with one or more high-performance networking technologies such as DPDK, XDP, eBPF, AF_XDP, or SR-IOV. • Experience with multithreaded and concurrent software. • Strong understanding of performance analysis, profiling, benchmarking, and troubleshooting. • Ability to reason about complex systems across hardware, operating systems, networking, and applications. • Ability to independently drive projects from technical design through implementation and production deployment. • Strong technical writing skills, with the ability to produce RFCs, architecture/design documents, technical proposals, and other documentation required to drive engineering projects. • Strong communication skills and ability to work effectively across engineering teams. Experience With Hardware-accelerated Networking Is Highly Valuable. This Includes • Experience developing software for DPUs, SmartNICs, IPUs, or programmable NICs. • Understanding how functionality can be distributed between host CPUs, NICs, DPUs, and switches. • Experience with DPU-based networking, security, storage, virtualization, or packet processing. • Experience with programmable datapaths such as P4, eBPF, or other programmable data-plane technologies. • Understanding of PCIe, DMA, queues, interrupts, RSS, offloads, and NIC hardware architecture. At the Senior Engineer level, you will be expected to: • Own significant technical components and deliver them from design through production. • Solve complex performance and reliability problems in the network datapath. • Make sound technical decisions based on measurable performance and operational requirements. • Develop scalable solutions rather than one-off fixes. • Proactively identify architectural and performance bottlenecks. • Work effectively across Network Infrastructure, Compute, Security, and other engineering organizations. • Produce clear RFCs and technical documentation that enable teams to align on complex architectural decisions. • Mentor other engineers and raise the technical bar within the team. • Use AI and modern engineering tools to increase personal and team leverage and accelerate delivery. Nice to Have • Experience working on cloud networking or hyperscale infrastructure. • Experience developing Linux kernel networking code or NIC drivers. • Experience with DPDK, XDP, eBPF, AF_XDP, or DPU-based datapaths in production. • Experience with 400G+ networking. • Experience with high-performance packet processing at 10/25/40/100/200/400G+ speeds. • Experience with network virtualization and overlay technologies such as VXLAN/EVPN. • Experience with programmable switches. • Experience with performance analysis using tools such as perf, eBPF tooling, flame graphs, or hardware performance counters. • Experience building network datapath tests and benchmarking infrastructure. • Contributions to Linux, DPDK, eBPF, OVS, or other networking/open-source projects. Why DigitalOcean This role provides an opportunity to work on some of the most performance-sensitive software in DigitalOcean's infrastructure. The network datapath is foundational to the performance, scalability, and reliability of our cloud platform. You will help shape the evolution from traditional host-based networking toward highly optimized, programmable, and hardware-accelerated datapaths, while solving challenging problems across software, operating systems, networking, and hardware. Compensation Range • $167,200 - $209,000 • This is a remote role JR: 2026-8151 Why You’ll Like Working for DigitalOcean • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Develop and optimize high-performance network datapath software for cloud infrastructure. | Strong experience in C/C++/Go, deep networking knowledge, Linux networking internals, and hardware-accelerated networking technologies. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. About The Role DigitalOcean is looking for a Senior Software Engineer, Network Datapath to help build and evolve the software that powers high-performance networking across our cloud infrastructure. You will work at the intersection of networking, operating systems, distributed systems, and high-performance software, developing datapath technologies that enable DigitalOcean to deliver high throughput, low latency, and predictable network performance at scale. This role will focus on the software running in and around the network datapath, including packet processing, forwarding, routing, acceleration, observability, and integration with host and hardware-based networking components. You will work closely with Network Infrastructure, Compute, Availability, and hardware teams to design, implement, optimize, and operate production networking systems. The ideal candidate is a strong software engineer with deep networking knowledge who enjoys working close to the system and is excited about optimizing the path that packets take through cloud infrastructure. What You'll Be Doing • Design, develop, and optimize high-performance network datapath software for DigitalOcean's cloud infrastructure. • Build and improve packet-processing and forwarding systems with a focus on throughput, latency, CPU efficiency, scalability, and reliability. • Develop networking functionality across the host, kernel, user space, and hardware-accelerated datapath. • Work with technologies such as Linux networking, eBPF, XDP, DPDK, AF_XDP, SR-IOV, and programmable datapaths. • Analyze packet-processing paths and identify opportunities to eliminate bottlenecks and improve performance. • Develop software for routing, packet filtering, encapsulation, tunneling, load balancing, traffic steering, and network virtualization. • Build and improve datapath observability, telemetry, debugging, and performance monitoring. • Design software that integrates with DPUs, SmartNICs, programmable NICs, and other hardware acceleration technologies. • Develop automated testing and benchmarking frameworks to validate datapath correctness and performance. • Investigate complex production networking issues, including packet drops, latency, throughput degradation, CPU utilization, and unexpected traffic behavior. • Work with Network Infrastructure and Compute engineers to integrate datapath functionality into DigitalOcean's broader infrastructure architecture. • Contribute to the design and implementation of next-generation network architectures. • Author RFCs, architecture documents, technical proposals, design documents, and implementation plans to drive complex networking initiatives. • Clearly document technical decisions, tradeoffs, performance characteristics, dependencies, and operational considerations. • Participate in design reviews and provide technical guidance to other engineers. • Mentor engineers and contribute to improving software engineering and networking practices across the organization. What We're Looking For • Strong experience designing and developing production software in C, C++, or Go. • Strong understanding of networking and packet processing. • Experience developing software for Linux-based networking systems. • Solid understanding of networking concepts including TCP/IP, routing, switching, VLANs, VXLAN, BGP, ECMP, NAT, load balancing, and network virtualization. • Experience debugging and optimizing performance-sensitive systems. • Understanding of Linux networking internals, including the Linux kernel networking stack, network namespaces, sockets, queues, interrupts, and NIC drivers. • Experience with one or more high-performance networking technologies such as DPDK, XDP, eBPF, AF_XDP, or SR-IOV. • Experience with multithreaded and concurrent software. • Strong understanding of performance analysis, profiling, benchmarking, and troubleshooting. • Ability to reason about complex systems across hardware, operating systems, networking, and applications. • Ability to independently drive projects from technical design through implementation and production deployment. • Strong technical writing skills, with the ability to produce RFCs, architecture/design documents, technical proposals, and other documentation required to drive engineering projects. • Strong communication skills and ability to work effectively across engineering teams. Experience With Hardware-accelerated Networking Is Highly Valuable. This Includes • Experience developing software for DPUs, SmartNICs, IPUs, or programmable NICs. • Understanding how functionality can be distributed between host CPUs, NICs, DPUs, and switches. • Experience with DPU-based networking, security, storage, virtualization, or packet processing. • Experience with programmable datapaths such as P4, eBPF, or other programmable data-plane technologies. • Understanding of PCIe, DMA, queues, interrupts, RSS, offloads, and NIC hardware architecture. At the Senior Engineer level, you will be expected to: • Own significant technical components and deliver them from design through production. • Solve complex performance and reliability problems in the network datapath. • Make sound technical decisions based on measurable performance and operational requirements. • Develop scalable solutions rather than one-off fixes. • Proactively identify architectural and performance bottlenecks. • Work effectively across Network Infrastructure, Compute, Security, and other engineering organizations. • Produce clear RFCs and technical documentation that enable teams to align on complex architectural decisions. • Mentor other engineers and raise the technical bar within the team. • Use AI and modern engineering tools to increase personal and team leverage and accelerate delivery. Nice to Have • Experience working on cloud networking or hyperscale infrastructure. • Experience developing Linux kernel networking code or NIC drivers. • Experience with DPDK, XDP, eBPF, AF_XDP, or DPU-based datapaths in production. • Experience with 400G+ networking. • Experience with high-performance packet processing at 10/25/40/100/200/400G+ speeds. • Experience with network virtualization and overlay technologies such as VXLAN/EVPN. • Experience with programmable switches. • Experience with performance analysis using tools such as perf, eBPF tooling, flame graphs, or hardware performance counters. • Experience building network datapath tests and benchmarking infrastructure. • Contributions to Linux, DPDK, eBPF, OVS, or other networking/open-source projects. Why DigitalOcean This role provides an opportunity to work on some of the most performance-sensitive software in DigitalOcean's infrastructure. The network datapath is foundational to the performance, scalability, and reliability of our cloud platform. You will help shape the evolution from traditional host-based networking toward highly optimized, programmable, and hardware-accelerated datapaths, while solving challenging problems across software, operating systems, networking, and hardware. Compensation Range • $167,200 - $209,000 • This is a remote role JR: 2026-8151 Why You’ll Like Working for DigitalOcean • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Design and develop high-performance network datapath software for cloud infrastructure. | Requires strong experience in C/C++/Go, deep networking knowledge, Linux kernel networking, and hardware-accelerated networking technologies. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. About The Role DigitalOcean is looking for a Senior Software Engineer, Network Datapath to help build and evolve the software that powers high-performance networking across our cloud infrastructure. You will work at the intersection of networking, operating systems, distributed systems, and high-performance software, developing datapath technologies that enable DigitalOcean to deliver high throughput, low latency, and predictable network performance at scale. This role will focus on the software running in and around the network datapath, including packet processing, forwarding, routing, acceleration, observability, and integration with host and hardware-based networking components. You will work closely with Network Infrastructure, Compute, Availability, and hardware teams to design, implement, optimize, and operate production networking systems. The ideal candidate is a strong software engineer with deep networking knowledge who enjoys working close to the system and is excited about optimizing the path that packets take through cloud infrastructure. What You'll Be Doing • Design, develop, and optimize high-performance network datapath software for DigitalOcean's cloud infrastructure. • Build and improve packet-processing and forwarding systems with a focus on throughput, latency, CPU efficiency, scalability, and reliability. • Develop networking functionality across the host, kernel, user space, and hardware-accelerated datapath. • Work with technologies such as Linux networking, eBPF, XDP, DPDK, AF_XDP, SR-IOV, and programmable datapaths. • Analyze packet-processing paths and identify opportunities to eliminate bottlenecks and improve performance. • Develop software for routing, packet filtering, encapsulation, tunneling, load balancing, traffic steering, and network virtualization. • Build and improve datapath observability, telemetry, debugging, and performance monitoring. • Design software that integrates with DPUs, SmartNICs, programmable NICs, and other hardware acceleration technologies. • Develop automated testing and benchmarking frameworks to validate datapath correctness and performance. • Investigate complex production networking issues, including packet drops, latency, throughput degradation, CPU utilization, and unexpected traffic behavior. • Work with Network Infrastructure and Compute engineers to integrate datapath functionality into DigitalOcean's broader infrastructure architecture. • Contribute to the design and implementation of next-generation network architectures. • Author RFCs, architecture documents, technical proposals, design documents, and implementation plans to drive complex networking initiatives. • Clearly document technical decisions, tradeoffs, performance characteristics, dependencies, and operational considerations. • Participate in design reviews and provide technical guidance to other engineers. • Mentor engineers and contribute to improving software engineering and networking practices across the organization. What We're Looking For • Strong experience designing and developing production software in C, C++, or Go. • Strong understanding of networking and packet processing. • Experience developing software for Linux-based networking systems. • Solid understanding of networking concepts including TCP/IP, routing, switching, VLANs, VXLAN, BGP, ECMP, NAT, load balancing, and network virtualization. • Experience debugging and optimizing performance-sensitive systems. • Understanding of Linux networking internals, including the Linux kernel networking stack, network namespaces, sockets, queues, interrupts, and NIC drivers. • Experience with one or more high-performance networking technologies such as DPDK, XDP, eBPF, AF_XDP, or SR-IOV. • Experience with multithreaded and concurrent software. • Strong understanding of performance analysis, profiling, benchmarking, and troubleshooting. • Ability to reason about complex systems across hardware, operating systems, networking, and applications. • Ability to independently drive projects from technical design through implementation and production deployment. • Strong technical writing skills, with the ability to produce RFCs, architecture/design documents, technical proposals, and other documentation required to drive engineering projects. • Strong communication skills and ability to work effectively across engineering teams. Experience With Hardware-accelerated Networking Is Highly Valuable. This Includes • Experience developing software for DPUs, SmartNICs, IPUs, or programmable NICs. • Understanding how functionality can be distributed between host CPUs, NICs, DPUs, and switches. • Experience with DPU-based networking, security, storage, virtualization, or packet processing. • Experience with programmable datapaths such as P4, eBPF, or other programmable data-plane technologies. • Understanding of PCIe, DMA, queues, interrupts, RSS, offloads, and NIC hardware architecture. At the Senior Engineer level, you will be expected to: • Own significant technical components and deliver them from design through production. • Solve complex performance and reliability problems in the network datapath. • Make sound technical decisions based on measurable performance and operational requirements. • Develop scalable solutions rather than one-off fixes. • Proactively identify architectural and performance bottlenecks. • Work effectively across Network Infrastructure, Compute, Security, and other engineering organizations. • Produce clear RFCs and technical documentation that enable teams to align on complex architectural decisions. • Mentor other engineers and raise the technical bar within the team. • Use AI and modern engineering tools to increase personal and team leverage and accelerate delivery. Nice to Have • Experience working on cloud networking or hyperscale infrastructure. • Experience developing Linux kernel networking code or NIC drivers. • Experience with DPDK, XDP, eBPF, AF_XDP, or DPU-based datapaths in production. • Experience with 400G+ networking. • Experience with high-performance packet processing at 10/25/40/100/200/400G+ speeds. • Experience with network virtualization and overlay technologies such as VXLAN/EVPN. • Experience with programmable switches. • Experience with performance analysis using tools such as perf, eBPF tooling, flame graphs, or hardware performance counters. • Experience building network datapath tests and benchmarking infrastructure. • Contributions to Linux, DPDK, eBPF, OVS, or other networking/open-source projects. Why DigitalOcean This role provides an opportunity to work on some of the most performance-sensitive software in DigitalOcean's infrastructure. The network datapath is foundational to the performance, scalability, and reliability of our cloud platform. You will help shape the evolution from traditional host-based networking toward highly optimized, programmable, and hardware-accelerated datapaths, while solving challenging problems across software, operating systems, networking, and hardware. Compensation Range • $167,200 - $209,000 • This is a remote role JR: 2026-8151 Why You’ll Like Working for DigitalOcean • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Develop and optimize high-performance network datapath software for cloud infrastructure. | Strong experience in C/C++/Go, deep networking knowledge, Linux networking internals, and hardware-accelerated networking technologies. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. About The Role DigitalOcean is looking for a Senior Software Engineer, Network Datapath to help build and evolve the software that powers high-performance networking across our cloud infrastructure. You will work at the intersection of networking, operating systems, distributed systems, and high-performance software, developing datapath technologies that enable DigitalOcean to deliver high throughput, low latency, and predictable network performance at scale. This role will focus on the software running in and around the network datapath, including packet processing, forwarding, routing, acceleration, observability, and integration with host and hardware-based networking components. You will work closely with Network Infrastructure, Compute, Availability, and hardware teams to design, implement, optimize, and operate production networking systems. The ideal candidate is a strong software engineer with deep networking knowledge who enjoys working close to the system and is excited about optimizing the path that packets take through cloud infrastructure. What You'll Be Doing • Design, develop, and optimize high-performance network datapath software for DigitalOcean's cloud infrastructure. • Build and improve packet-processing and forwarding systems with a focus on throughput, latency, CPU efficiency, scalability, and reliability. • Develop networking functionality across the host, kernel, user space, and hardware-accelerated datapath. • Work with technologies such as Linux networking, eBPF, XDP, DPDK, AF_XDP, SR-IOV, and programmable datapaths. • Analyze packet-processing paths and identify opportunities to eliminate bottlenecks and improve performance. • Develop software for routing, packet filtering, encapsulation, tunneling, load balancing, traffic steering, and network virtualization. • Build and improve datapath observability, telemetry, debugging, and performance monitoring. • Design software that integrates with DPUs, SmartNICs, programmable NICs, and other hardware acceleration technologies. • Develop automated testing and benchmarking frameworks to validate datapath correctness and performance. • Investigate complex production networking issues, including packet drops, latency, throughput degradation, CPU utilization, and unexpected traffic behavior. • Work with Network Infrastructure and Compute engineers to integrate datapath functionality into DigitalOcean's broader infrastructure architecture. • Contribute to the design and implementation of next-generation network architectures. • Author RFCs, architecture documents, technical proposals, design documents, and implementation plans to drive complex networking initiatives. • Clearly document technical decisions, tradeoffs, performance characteristics, dependencies, and operational considerations. • Participate in design reviews and provide technical guidance to other engineers. • Mentor engineers and contribute to improving software engineering and networking practices across the organization. What We're Looking For • Strong experience designing and developing production software in C, C++, or Go. • Strong understanding of networking and packet processing. • Experience developing software for Linux-based networking systems. • Solid understanding of networking concepts including TCP/IP, routing, switching, VLANs, VXLAN, BGP, ECMP, NAT, load balancing, and network virtualization. • Experience debugging and optimizing performance-sensitive systems. • Understanding of Linux networking internals, including the Linux kernel networking stack, network namespaces, sockets, queues, interrupts, and NIC drivers. • Experience with one or more high-performance networking technologies such as DPDK, XDP, eBPF, AF_XDP, or SR-IOV. • Experience with multithreaded and concurrent software. • Strong understanding of performance analysis, profiling, benchmarking, and troubleshooting. • Ability to reason about complex systems across hardware, operating systems, networking, and applications. • Ability to independently drive projects from technical design through implementation and production deployment. • Strong technical writing skills, with the ability to produce RFCs, architecture/design documents, technical proposals, and other documentation required to drive engineering projects. • Strong communication skills and ability to work effectively across engineering teams. Experience With Hardware-accelerated Networking Is Highly Valuable. This Includes • Experience developing software for DPUs, SmartNICs, IPUs, or programmable NICs. • Understanding how functionality can be distributed between host CPUs, NICs, DPUs, and switches. • Experience with DPU-based networking, security, storage, virtualization, or packet processing. • Experience with programmable datapaths such as P4, eBPF, or other programmable data-plane technologies. • Understanding of PCIe, DMA, queues, interrupts, RSS, offloads, and NIC hardware architecture. At the Senior Engineer level, you will be expected to: • Own significant technical components and deliver them from design through production. • Solve complex performance and reliability problems in the network datapath. • Make sound technical decisions based on measurable performance and operational requirements. • Develop scalable solutions rather than one-off fixes. • Proactively identify architectural and performance bottlenecks. • Work effectively across Network Infrastructure, Compute, Security, and other engineering organizations. • Produce clear RFCs and technical documentation that enable teams to align on complex architectural decisions. • Mentor other engineers and raise the technical bar within the team. • Use AI and modern engineering tools to increase personal and team leverage and accelerate delivery. Nice to Have • Experience working on cloud networking or hyperscale infrastructure. • Experience developing Linux kernel networking code or NIC drivers. • Experience with DPDK, XDP, eBPF, AF_XDP, or DPU-based datapaths in production. • Experience with 400G+ networking. • Experience with high-performance packet processing at 10/25/40/100/200/400G+ speeds. • Experience with network virtualization and overlay technologies such as VXLAN/EVPN. • Experience with programmable switches. • Experience with performance analysis using tools such as perf, eBPF tooling, flame graphs, or hardware performance counters. • Experience building network datapath tests and benchmarking infrastructure. • Contributions to Linux, DPDK, eBPF, OVS, or other networking/open-source projects. Why DigitalOcean This role provides an opportunity to work on some of the most performance-sensitive software in DigitalOcean's infrastructure. The network datapath is foundational to the performance, scalability, and reliability of our cloud platform. You will help shape the evolution from traditional host-based networking toward highly optimized, programmable, and hardware-accelerated datapaths, while solving challenging problems across software, operating systems, networking, and hardware. Compensation Range • $167,200 - $209,000 • This is a remote role JR: 2026-8151 Why You’ll Like Working for DigitalOcean • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Design and build scalable multi-tenant AI inference services and improve platform resiliency with automation and operational tooling. | 7+ years experience in distributed backend systems with strong Go and Kubernetes skills and deep SRE knowledge. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are seeking a Senior Engineer II to implement and contribute to the design and optimization of our Serverless Inference infrastructure and APIs. In this role, you will tackle the challenges of large-scale AI workloads, focusing on throughput, GPU utilization, and fault tolerance to support next-generation inference needs of AI native enterprises. What You'll Do: Design and build scalable, multi-tenant services that power AI inference and intelligent routing workloads. Strengthen platform resiliency through improved observability, capacity management, automation, and operational tooling. Partner closely with platform, GPU infrastructure, and product engineering teams to deliver production-grade systems and highly available APIs. Raise the engineering bar through strong software design, operational discipline, incident management, and continuous improvement practices. Contribute to architecture decisions around traffic management, service orchestration, reliability, and platform scalability. Participate in on-call rotations and lead efforts to reduce operator pain, improve service health, and prevent recurring incidents. Provide technical leadership on projects by breaking down ambiguous problems and guiding engineers toward clear execution plans. Support the growth of junior and mid-level engineers through coaching, pairing, and constructive feedback. Foster a culture of ownership, accountability, and continuous learning across the team. Lead by example in incident response, operational readiness, and production-quality engineering practices. What You'll Bring: Required 7+ years of experience building and operating multi-tenant platforms or distributed backend systems Strong experience operating high-scale distributed services in production environments Deep understanding of SRE principles, including observability, incident management, reliability engineering, capacity planning, and operational automation 1+ years of hands-on experience with Go / Golang in production systems 2+ years of experience with Kubernetes Strong understanding of cloud-native architectures, microservices, and distributed systems fundamentals Experience debugging performance, scalability, and reliability issues in production systems Observability Proficiency: Experience tracking infrastructure and inference metrics like Time To First Token (TTFT), Time Per Output Token (TPOT), and GPU utilization. Bonus AI/ML Framework Knowledge: Understanding of modern LLM serving architectures and familiarity with engines like vLLM or Triton. Experience with API gateways, traffic routing, or service mesh technologies Familiarity with LLM serving stacks such as vLLM, TensorRT-LLM, or similar technologies Experience building systems for inference optimization, rate limiting, routing, or workload orchestration Compensation Range: $167,000 - $209,000 *This is a hybrid role JR: 2026-8187 #LI-Hybrid Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Own and architect AI-native business systems and agentic workflows across enterprise platforms, building scalable, secure, and governed AI solutions. | Extensive architecture experience with hands-on AI agentic system development, enterprise system integration, security governance, and strong collaboration skills. | Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for an Architect who will own the technical shape of how DigitalOcean operates as an AI-native business — the agentic systems our teams build, and the enterprise architecture they plug into. DigitalOcean is building the substrate for an AI-native company, and this role owns its architecture. The ambition: any team—Finance, People, Sales, Marketing, Support, IT, Engineering—can put a governed agent into a real business workflow in hours or days, on rails that make the safe path the fast path. Credentials and access owned by the platform. Every agent operating under an identity that can be audited. Quality held to evaluation evidence as models and prompts change. Cost per workflow understood before it is committed. Orchestration and observability built once and shared. Getting there is an architecture problem, and it is yours. Reporting to the Sr. Director of AI & Business Technology Engineering and partnering with the Manager, AI Engineering—who owns people and roadmap while you own technical direction—you will own the architecture end to end: how agents are built and run, how they reach models and enterprise systems, how long-running work is orchestrated, and how identity, audit, and observability run through all of it. You set the technical bar across our distributed team in the US and India. The role is deliberately hybrid, and we mean all three parts. You are a software architect who sets the standard for how we build; an AI architect who has shipped agentic systems that survived production; and a business systems architect who knows agent quality is a context problem—and that the context lives in Workday, Salesforce, NetSuite, Greenhouse, Snowflake, and Okta, not in the model. Your influence spans all of Business Technology, not just AI Engineering. One distinctive advantage: DigitalOcean sells the substrate we run on. You will partner with our AI platform organization and build on our own AI platform and inference products—dogfooding that is also the fastest path to enterprise capability. Few architect roles make you the internal design partner to the products you depend on. This is not an advisory role or a review-board seat. You will write code, build prototypes, publish reference implementations, and pair with engineers on the hard parts. You will also say no—to a design that won't scale, to an agent that shouldn't have write access to the general ledger, to a vendor feature that papers over an architecture problem. Ivory-tower distance is the failure mode we screen against. What You'll Do Own the AI reference architecture. Define the patterns and standards for how DigitalOcean builds agentic systems—orchestration, tool use, capability boundaries, memory and state, retrieval, evaluation, and observability—and make the governed path the easiest one to take. Standards enforced through tooling and paved paths, not approval boards. Build alongside the team. Design, prototype, and code the hardest and most ambiguous components, and publish reference implementations others build on. Recent hands-on building is the core of this job, not a nice-to-have. Architect the internal AI platform. Shape the shared services every agent depends on: model access and routing, agent runtimes, evaluation harnesses, durable orchestration for long-running stateful workflows that pause and resume across days, and the developer experience that makes all of it self-service. Design the tool and capability layer. Define how agents discover and invoke capabilities, built on open standards such as the Model Context Protocol: versioned, schema-defined tools with clear ownership, and evaluation gates before anything becomes available for reuse. Design how agents meet enterprise systems. Establish the integration, identity, and authorization patterns that let agents work safely against systems of record—never replacing a system's own authorization, only narrowing it. This is where most enterprise agent programs quietly fail. Re-architect business processes to be AI-native. Sit with the people doing the work—finance, recruiting, sales operations, support, IT—to understand a workflow before designing for it, then partner with functional leaders to find the highest-leverage opportunities and ship them. Set the standard for governance and safety. Capability boundaries, human approval for consequential actions, autonomy earned on evaluation evidence, audit trails, and lifecycle management—designed into the architecture rather than written into policy documents, and aligned with the security and compliance obligations we already carry. Own the unit economics. Design for cost per completed task, not per token: model selection and routing, context management, caching, batching, and cost attribution teams can act on. Make architectural decisions legible and durable. Write RFCs and ADRs, and keep interfaces stable so components can be swapped without re-architecting. Define the technical standards for AI development, deployment, and operation across the organization. Multiply the team. Set the technical bar through architecture reviews and high-leverage code, mentor engineers across the US and India, and be the escalation point when a design decision crosses team boundaries. Partner across the company. Serve as the architectural counterpart to our platform engineering, security, identity, data, and program management teams—and as technical advisor to business owners evaluating AI capabilities in their own platforms. What Success Looks Like An architecture the whole team builds on, with interfaces durable enough that component and vendor swaps land without re-architecting. Provisioning a new agent is a single declarative step, governed by default—so the marginal cost of the next AI workflow collapses instead of compounding. Golden paths and reference implementations teams choose over hand-rolling their own. Agent behavior you can vouch for in production: strong eval scores against golden datasets, low regression and human-intervention rates, complete audit coverage, and fast time-to-detect and time-to-contain. Unit economics under architectural control: cost per completed task, and attribution accurate enough to bill back. Business outcomes on re-architected workflows—cycle time, hours returned, cost savings—and senior engineers leveling up because of your architecture and reviews. What You'll Add to DigitalOcean Architecture Depth: Substantial experience as a software, solution, or enterprise architect (typically 10+ years), several of them owning architecture above a single project or team. A transformation you steered—what went wrong and what you changed—tells us more than a year count. Hands-On AI Engineering: Recent experience building LLM and agentic systems that ran in production: agent orchestration (LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or equivalents), Model Context Protocol (MCP) tooling, retrieval and vector stores, and LLMOps discipline—evaluation-first development, prompt and agent versioning, regression testing, observability for non-deterministic outputs, cost attribution. Production Engineering Fundamentals: Depth in at least one production language (Python, Go, TypeScript, or Java) and cloud-native infrastructure—Kubernetes, serverless, APIs, event-driven patterns, observability. You can open an editor and be useful on day one. Enterprise Systems Fluency: Experience architecting on and integrating Workday, Salesforce, NetSuite, Greenhouse, ServiceNow, or similar—their data models, extensibility limits, native agent layers, and permissioning models. You know when to extend a platform and when to build beside it. Integration Architecture: API and event-driven design, workflow and iPaaS platforms (Workato, MuleSoft, Boomi, n8n, or equivalents), and cloud data platforms—with a view on how the integration layer must change for agentic workflows. Agent Identity and Security Judgment: A clear position on securing autonomous systems: agents as first-class principals rather than credential-holders impersonating humans, short-lived machine identity, vault-backed scoped secrets, delegation with preserved provenance, default-deny tool access, prompt-injection defense, and audit trails your security team can use. Familiarity with the OWASP Agentic AI risk landscape. Governance Without Bureaucracy: Capability boundaries, an autonomy ladder promoted on evidence rather than anecdote, human-in-the-loop escalation, and data governance for prompts and outputs—plus fluency with the NIST AI RMF, ISO/IEC 42001, and the EU AI Act. You use them as tools, not as a shield. Business Translation: You can sit with a finance analyst or a recruiter, understand what they do all day, and turn an ambiguous business problem into a well-bounded AI system. Excellent written and verbal communication, and the ability to influence engineers, executives, and non-engineering stakeholders without authority. A Bias for Shipping: Pragmatic decisions with incomplete information, unblocking engineers rather than gating them, outcomes over outputs. Distributed Collaboration: Effective across time zones, including close partnership with engineering teams in India, and comfortable in a hybrid environment near our Boston/Cambridge community. Bonus Points Experience deploying AI developer tooling at scale to internal users (Cursor, Claude Code, GitHub Copilot, or equivalent enterprise rollouts). Experience re-engineering finance, people, GTM, or support processes in enterprise systems, including SOX-relevant or otherwise audited workflows. Familiarity with emerging agent interoperability and identity work—A2A, agent registries, SPIFFE/SPIRE, and the MCP authorization spec. Agent evaluation and observability tooling (LangFuse, Arize, Braintrust, LangSmith, OpenTelemetry-based tracing, or equivalents). Knowledge graphs, semantic layers, or ontology modeling applied to enterprise retrieval, including GraphRAG patterns. Enterprise architecture practice experience (reference architectures, ADRs, C4 modeling, portfolio rationalization) or a framework background such as TOGAF—useful context, never a substitute for delivery. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Compensation Range: $191,200- $239,000 *This is a remote role JR: 2026-8013 #LI-Remote Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.