SentinelOne

Diagnose and resolve complex production issues to improve platform reliability and scalability. | 5+ years backend engineering experience with expertise in Java, Go, or Python and reliability-focused distributed systems design. | Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior Software Engineer on the Agent Platform team, you will help secure tens of millions of devices across Windows, Linux, and macOS while processing billions of security events every day as part of SentinelOne’s Endpoint Protection product line. We are looking for an excellent software engineer with a reliability-first mindset who thrives on solving complex distributed systems challenges in production and turning those learnings into durable platform improvements and long-term engineering ownership. You’ll help drive customer-critical incident response across the Agent Platform, rapidly build context across multiple platform services, and partner with engineering teams to continuously improve the platform’s reliability, operability, and scalability as a whole. You will build and evolve the high-throughput, highly available services responsible for policy, configuration, and command distribution to millions of agents worldwide, while contributing to the agent platform protocols that enable other SentinelOne teams to deliver new security capabilities safely and at scale. This role offers broad technical ownership, the opportunity to work across service boundaries, and the ability to influence the design and reliability of critical platform capabilities used throughout the Agent Platform at SentinelOne. You’ll solve some of the company’s most complex production challenges while helping shape the future of our platform. What Will You Do? Primary responsibilities include: Drive rapid response to customer-critical incidents by diagnosing, triaging, and resolving complex production issues that span multiple services across the Agent Platform. Lead systematic root-cause analysis and translate incident learnings into durable reliability, scalability, observability, and operability improvements. Quickly build a systems-level understanding of unfamiliar services and codebases, collaborating closely with engineering teams to resolve complex cross-service issues. Design, develop, test, document, deploy, and operate large-scale, high-volume, low-latency distributed systems processing millions of events per second. Understand, maintain, and continuously improve existing services through refactoring, feature development, and architectural enhancements. Maintain application stability and data integrity by monitoring key metrics, improving operational visibility, and continuously strengthening the codebase. Translate business and functional requirements into robust, scalable, and operable technical solutions. Partner closely with engineering teams across SentinelOne to solve cross-functional problems, influence technical direction, and deliver solutions that scale. Continuously evaluate and adopt technologies that improve the platform’s scalability, reliability, and operational excellence. Your Toolkit Our backend services are primarily developed in Java, with Go and Python also playing important roles. We use gRPC, REST, GraphQL, and Kafka for service communication. Our data layer includes Redis, PostgreSQL, Cassandra, ClickHouse, and our own columnar time-series database. Our services run across multiple AWS and GCP regions on Kubernetes, using Docker, GitHub, and ArgoCD. We provide engineers with modern AI-powered tools to improve both engineering productivity and software quality. What Skills and Knowledge Will You Bring? Ideal candidates will have: 5+ years of professional backend software engineering experience with deep expertise in at least one of Java, Go, or Python, and the willingness to work across all three as needed. A reliability-first mindset with a proven ability to solve complex production incidents, perform systematic root-cause analysis, and implement durable engineering solutions that prevent recurrence. Demonstrated ability to quickly understand unfamiliar distributed systems, navigate large codebases, and troubleshoot complex failures across service boundaries. Strong hands-on experience designing, building, and operating large-scale distributed systems, with a deep understanding of failure modes, performance trade-offs, resilience patterns, and operational excellence. Experience with AWS, GCP, or similar cloud platforms, as well as Docker, Helm, and Kubernetes. Experience with messaging systems and data platforms such as Kafka, PostgreSQL, Redis, Cassandra, ClickHouse, or similar technologies. Excellent communication and collaboration skills, with the ability to work effectively across engineering teams, Product, Technical Account Managers, and other stakeholders, influence technical direction, and mentor fellow engineers. A high degree of ownership, autonomy, curiosity, and the ability to drive ambiguous technical problems to successful outcomes. Experience in an enterprise SaaS or cybersecurity software company is highly desirable. Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards Restricted Stock Units (RSUs) Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing Flexible time off Paid company holidays and paid sick time Gender-neutral parental leave Grandparent leave Insurance & Financial Security Medical, dental, and vision coverage 401(k) retirement plan with company match Life and disability insurance Health and dependent care FSA Voluntary benefits (hospital, accident, critical illness) Employee Assistance Program (EAP) ARAG pre-paid legal Nationwide pet insurance Cancer Care program Global business travel medical insurance Work Perks & Flexibility Home office allowance Mobile phone reimbursement Wellness & Lifestyle Wellness coach Wellness/gym reimbursement Fertility coverage Adoption & surrogacy reimbursement This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range $132,000—$182,000 USD SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.

Architect and scale AI Gateway infrastructure, ensure reliability and incident response, design cross-platform solutions, and manage AI model serving infrastructure. | 5+ years in platform/infrastructure/DevOps engineering with Kubernetes, GitOps, CI/CD, API gateway, and LLM inference production experience. | Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior AI Platform Engineer, Infrastructure Services, you will be tasked with taking ownership of our AI Gateway infrastructure (built on Kong AI Gateway), the system that authenticates, routes, rate-limits, and monitors AI coding assistant traffic org-wide, while also being fluent enough across our broader platform stack to design solutions that span the two. This is a high-autonomy, high-scope role: you will set technical direction for AI infrastructure, drive incident response and reliability work, and partner closely with the engineers who own our CI/CD, GitOps, and artifact systems rather than working in isolation from them. What Will You Do? Primary responsibilities include: Work on the AI Gateway platform: architect, harden, and scale our Kong AI Gateway deployment (Konnect Hybrid on KCP/EKS), including auth (Okta/OIDC), consumer tiers and budgets, rate limiting, semantic caching, and observability. Lead reliability and incident response: drive root-cause analysis and remediation for gateway issues (timeouts, latency, capacity, failover) and build the monitoring/alerting needed to catch them before users do. Design across the platform, not just the gateway: work fluently with our CI/CD (Jenkins, JPAAS), GitOps and Kubernetes deployment tooling (ArgoCD across dev/gov/prod), artifact management (Artifactory/Xray), GitHub Enterprise administration, and GitHub Actions runner fleet, so that AI infrastructure decisions account for how the rest of the platform actually works. Evaluate and roll out AI developer tooling: run structured pilots and adoption efforts for tools like AI-assisted PR review (Qodo) and engineering metrics platforms (LinearB), and make clear build-vs-buy recommendations. Set technical direction and mentor: define architecture and standards for AI infrastructure, review designs across the team, and raise the bar for other engineers working in this space. Partner cross-functionally: work directly with security, DevEx, and product engineering teams consuming the gateway to translate their needs into platform capabilities. Host and serve local models: stand up and operate self-hosted/open-weight model serving infrastructure (e.g. vLLM, NVIDIA Triton/NIM, TGI, Ollama) for workloads where routing to an external provider isn't the right fit, including GPU capacity planning, autoscaling, and cost/performance tuning. Support the broader model lifecycle: help build LLMOps practices such as model versioning, evaluation, and safe rollout, plus supporting infrastructure for retrieval-augmented generation (vector stores, embedding pipelines) as use cases mature. Track usage and cost: build observability into token usage, latency, and spend across both API-based and self-hosted models so the business can see what AI infrastructure actually costs. What Skills and Knowledge Will You Bring? Ideal candidates will have: 5 or more years of experience in platform, infrastructure, or DevOps engineering, with a track record of owning systems end-to-end in production. Hands-on experience with API gateway technologies (Kong, Envoy, Apigee, or similar); direct experience with AI/LLM gateway patterns (rate limiting, semantic caching, prompt/response observability) is a strong plus. Strong Kubernetes and GitOps experience (ArgoCD or comparable), and comfort operating across multiple environments (dev, gov, prod). Solid CI/CD background: Jenkins pipeline design and administration, build infrastructure, and runner/agent fleet management (GitHub Actions runners or equivalent). Experience with artifact and package management systems (Artifactory, Xray, or similar) and source control platform administration (GitHub Enterprise). Working knowledge of infrastructure-as-code (Terraform) and cloud platforms (AWS/EKS). Experience deploying and operating self-hosted LLM inference stacks (vLLM, NVIDIA Triton/NIM, TGI, Ollama, or similar) and GPU-backed infrastructure, including Kubernetes GPU scheduling and autoscaling. Familiarity with LLMOps practices: model versioning, evaluation harnesses, and usage/cost observability across API-based and self-hosted models. Track record of setting technical direction, driving cross-team initiatives, and mentoring other engineers; this role has significant scope and minimal day-to-day oversight. Clear, proactive communicator who can explain infrastructure trade-offs to both engineers and non-technical stakeholders. Experience operating LLM/AI-assisted developer tooling at scale (Claude Code, Copilot, or similar) inside an enterprise is preferred. Familiarity with Okta/OIDC and enterprise auth patterns for internal platforms is preferred. Experience with engineering productivity metrics tooling (LinearB or similar) and AI-based code review tooling (Qodo or similar) is preferred. Experience with vector databases and RAG pipelines (e.g. Milvus, Pinecone, pgvector, or similar) in a production setting is preferred. Exposure to model fine-tuning or lightweight training pipelines (LoRA/QLoRA or similar) for domain-specific model adaptation is preferred. Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards Restricted Stock Units (RSUs) Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing Flexible time off Paid company holidays and paid sick time Gender-neutral parental leave Grandparent leave Insurance & Financial Security Medical, dental, and vision coverage 401(k) retirement plan with company match Life and disability insurance Health and dependent care FSA Voluntary benefits (hospital, accident, critical illness) Employee Assistance Program (EAP) ARAG pre-paid legal Nationwide pet insurance Cancer Care program Global business travel medical insurance Work Perks & Flexibility Home office allowance Mobile phone reimbursement Wellness & Lifestyle Wellness coach Wellness/gym reimbursement Fertility coverage Adoption & surrogacy reimbursement This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range $132,000—$182,000 USD SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.

Lead design and development of scalable developer platform and secure APIs with modern DevEx and CI/CD practices. | Expertise in developer platform fundamentals, Golang, Kubernetes, cloud platforms, proven large-scale project leadership, and strong communication skills. | Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior Platform Engineer, you will be tasked with leading the design and development of a unified, scalable Developer Platform, building secure APIs and infrastructure using modern DevEx and CI/CD practices, and collaborating across teams to drive innovation in a global, high-scale environment. What will you do? Primary responsibilities include: Help create the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Participate in design and development of a new architecture that supports scalability, maintainability, and operational excellence. Modernize the Stack: Collaborate with architects and teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform. Hands-on Development: Write high-quality, production-ready code. Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement increases the overall quality, whether you wrote it directly, reviewed it, or had a hand in designing it. Collaborate Across Teams and Orgs: Partner with engineering, architects, product, design, quality, DevOps / Infra teams, and leadership to align on objectives, design, timelines, and execution strategies. Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana What Skills and Knowledge Will You Bring? Ideal candidates will have: Expertise in Developer Platform / DevEx fundamentals and infrastructure platform services design Proficiency in Golang, experience with Python is a plus Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes Excellent problem-solving skills Strong ownership and accountability, with proven experience driving large, impactful projects Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones Why Us? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards Restricted Stock Units (RSUs) Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing Flexible time off Paid company holidays and paid sick time Gender-neutral parental leave Grandparent leave Insurance & Financial Security Medical, dental, and vision coverage 401(k) retirement plan with company match Life and disability insurance Health and dependent care FSA Voluntary benefits (hospital, accident, critical illness) Employee Assistance Program (EAP) ARAG pre-paid legal Nationwide pet insurance Cancer Care program Global business travel medical insurance Work Perks & Flexibility Home office allowance Mobile phone reimbursement Wellness & Lifestyle Wellness coach Wellness/gym reimbursement Fertility coverage Adoption & surrogacy reimbursement This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range $132,000—$182,000 USD SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.

Design and evolve macOS agent architecture and lead technical root cause analysis and patching. | 4+ years software development with strong Objective-C and macOS internals proficiency and root-causing experience. | Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior Software Engineer (macOS), you will work directly on core macOS technologies to design high-performance features and evolve our agent architecture at the system level. You will lead the technical response to critical field events, systematically diagnosing root causes within the macOS ecosystem to develop and issue robust patches. Collaborating seamlessly with Product and Quality Assurance teams, you will ensure that vital security fixes and performance enhancements are integrated rapidly into our global release cycles, maintaining the highest standard of endpoint protection. What skills and experience should you bring? Required: 4+ years of software development experience, with dedicated experience on macOS Strong proficiency coding in Objective-C Understanding of macOS user space and internals Experience in systematically root-causing complex OS systems Advantages: Experience developing OS drivers & system extensions is a plus Experience managing escalations or issues requiring highly coordinated efforts to identify service restoration Experience with system performance analysis and mitigations Cybersecurity experience or exposure to macOS endpoint security platforms Experience with large-scale event processing systems Swift experience is beneficial but not required Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards Restricted Stock Units (RSUs) Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing Flexible time off Paid company holidays and paid sick time Gender-neutral parental leave Grandparent leave Insurance & Financial Security Medical, dental, and vision coverage 401(k) retirement plan with company match Life and disability insurance Health and dependent care FSA Voluntary benefits (hospital, accident, critical illness) Employee Assistance Program (EAP) ARAG pre-paid legal Nationwide pet insurance Cancer Care program Global business travel medical insurance Work Perks & Flexibility Home office allowance Mobile phone reimbursement Wellness & Lifestyle Wellness coach Wellness/gym reimbursement Fertility coverage Adoption & surrogacy reimbursement This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range $149,000—$182,000 USD SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.

Design and operate enterprise AI platform components including AI Gateway and Semantic Layers with production code for AI governance and scaling. | 8+ years software engineering with strong production services and AI/ML infrastructure experience, proficiency in Python and FastAPI, and experience with agent orchestration frameworks. | Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of SentinelOne's enterprise AI platform, including the Gateway, Harness, and Semantic Layers that every internal AI use case runs on top of. You will write the production code that governs, observes, secures, and scales AI activity across the company, working closely with the Sr. Director of Enterprise AI Platform Engineering and the rest of the platform team to take the architecture from design into running infrastructure. What Will You Do? Primary responsibilities include: Design, build, and operate components of the AI Gateway including centralized identity and authentication/authorization, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and request-level audit logging. Build and maintain pieces of the Harness layer including agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state handling across multi-turn interactions, and model abstraction across providers such as AWS Bedrock and Google Vertex. Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered components, and contribute to the React/TypeScript surfaces that expose platform capabilities to internal teams. Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless of origin passes through the same policy controls. Contribute to the Claude and Gemini Enterprise plugin framework by building, testing, and hardening role-based skills and agents, and help mature the pipeline for how plugins are authored, evaluated, and deployed. Instrument the platform for observability including metrics, tracing, and audit trails, and participate in on-call and operational support for platform services. Write clear technical documentation and participate in architecture and code reviews, holding a high bar for quality, security, and maintainability. Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to integrate the platform with governed data sources and shared architectural contracts. Work with the Sr. Director and model evaluation tooling to help close the loop between evaluation results and model selection, prompt tuning, and routing decisions. What Skills and Knowledge Will You Bring? Ideal candidates will have: Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required. Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually. 8 or more years of professional software engineering experience; with experience building or operating AI and ML infrastructure in a production environment. Strong Python skills, ideally with FastAPI, and comfort picking up frameworks like pydantic.ai for LLM-powered components; working familiarity with React and TypeScript is a plus. Exposure to or curiosity about the Model Context Protocol (MCP) and the challenges of governing tool access for agents operating across enterprise systems. Familiarity with enterprise AI deployments such as Claude Enterprise (Anthropic) or Gemini Enterprise is a plus, including how they are administered and how access and policy controls work. Solid software engineering fundamentals including clean, tested, production-grade code, strong API design skills, and the ability to give and receive feedback well in code and architecture reviews. Comfort operating in a fast-moving, still-forming platform environment where you are energized by ambiguity and enjoy turning a rough architecture into working, reliable infrastructure. Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards Restricted Stock Units (RSUs) Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing Flexible time off Paid company holidays and paid sick time Gender-neutral parental leave Grandparent leave Insurance & Financial Security Medical, dental, and vision coverage 401(k) retirement plan with company match Life and disability insurance Health and dependent care FSA Voluntary benefits (hospital, accident, critical illness) Employee Assistance Program (EAP) ARAG pre-paid legal Nationwide pet insurance Cancer Care program Global business travel medical insurance Work Perks & Flexibility Home office allowance Mobile phone reimbursement Wellness & Lifestyle Wellness coach Wellness/gym reimbursement Fertility coverage Adoption & surrogacy reimbursement This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range $184,000—$253,000 USD SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.