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Execute media campaigns, pitch to defense publications, draft high-level messaging, and coordinate with government relations. | At least 5+ years in defense communications, excellent writing skills, and familiarity with national security policy. | Senior Communications Manager Company Overview Hanwha Defense USA (HDUSA) develops and supplies advanced ground and sea combat systems to strengthen the capabilities of the United States. As HDUSA expands its manufacturing, engineering, and program execution footprint across multiple defense portfolios, the company is investing in enterprise systems that support compliant U.S. Government contracting, scalable manufacturing operations, and modern digital transformation initiatives. Location Arlington, Virginia (Rosslyn HQ)  Position Summary Hanwha Defense USA seeks an energetic and experienced Senior Communications Manager to execute media campaigns across the defense ecosystem. This role will require aggressive earned-media pitching to mainstream and defense publications, ghostwriting thought-provoking op-eds, coordinating messaging campaigns at defense and national security conferences, drafting talking points for high-level company executives, working extensively with our government relations team, and much more.   The ideal candidate will have experience in the U.S. government or defense industry, familiarity with industrial or national security policy, exceptional writing skills, and working relationships with reporters in the defense/national security sector.      Required skills   * At least 5+ years working in communications for the Pentagon, Capitol Hill, or defense industry. * Experience working in a fast-paced environment and on quick deadlines. * Creative, out-of-the-box storytelling. * Excellent writing skills to draft talking points, presentations, opinion pieces, memos, and media pitches. * Understands the global national security/foreign policy space.   Why join us? * Be part of a globally recognized leader in defense. * Animate policy outcomes through the industrial capacity and operational excellence of a dynamic company that is constantly innovating.  * Work with a growing team committed to world-class excellence. * Competitive compensation package, including comprehensive benefits and opportunities for professional growth.

Design, implement, and validate high-performance embedded and systems software supporting quantum error correction and control. | Requires experience with embedded systems, performance optimization, Linux environments, and hardware/software co-design, with a PhD preferred. | At Infleqtion we solve the world’s most challenging problems using cutting-edge quantum technology. Our mission is to commercialize atom-based quantum products that provide orders of magnitude improvements in sensing and computing applications. We are proud to work tirelessly to create and lead the quantum ecosystem towards meaningful advancements today and set the technology roadmap for tomorrow. POSITION SUMMARY Within Infleqtion’s Computing Product Group (CPG), the Hardware Engineering Team is seeking a Senior Embedded Software Engineer to own and deliver high‑performance embedded and systems software enabling real‑time quantum error correction and classical control at scale. This role focuses on integrating NVIDIA high‑speed interconnects with quantum error‑correction decoding pipelines, in close collaboration with quantum software, physics, and hardware teams. This position is scoped as a senior‑level individual contributor role: the engineer independently owns complex subsystems end‑to‑end within an established architecture, solves technically hard problems, interacts directly with external partners, and mentors developing engineers, without defining long‑term platform architecture. The engineer will also serve as a point-of-contact (POC) for subsystem hardware integration with NVidia’s NVQLink. JOB RESPONSIBILITIES Typically, you will be entrusted with: Independently design, implement, validate, and maintain embedded and systems‑level software subsystems supporting real‑time quantum error correction and control. Translate quantum error‑correction requirements (code distance, syndrome rates, latency budgets) into concrete classical compute, memory, and interconnect requirements. Design systems that meet deterministic latency, bandwidth, and reliability requirements across CPU, GPU, FPGA, and high‑speed interconnect domains. Serve as the technical point‑of‑contact for NVIDIA NVQLink integration, including topology, bandwidth modeling, latency characterization, and failure modes. Involves direct interaction with NVIDIA personnel as well as HPC experts in academia and US national labs. Collaborate closely with Quantum Software, Physics, Electrical, and Systems Engineering to co‑design hardware/software interfaces. Troubleshoot and resolve complex performance, scaling, and integration issues spanning firmware, drivers, OS (Embedded Linux / bare-metal environments), GPU runtimes, and hardware. Develop and maintain validation infrastructure, performance benchmarks, and test harnesses for deterministic behavior and scaling. Provide informal mentorship through design reviews, code reviews, and technical guidance. WE HOPE YOU HAVE: A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC). Demonstrated experience owning complex embedded or systems‑level software subsystems end‑to‑end. Strong experience with C/C++ in performance‑critical systems. Experience debugging across software and hardware boundaries (drivers, firmware, interconnects, timing). Solid understanding of computer architecture fundamentals (memory hierarchies, interconnects, latency vs throughput tradeoffs). Experience with hardware/software co‑design for quantum control systems Experience working in Linux‑based embedded or HPC environments. Familiarity with GPU programming models (CUDA or equivalent) at a systems level. WE HIGHLY VALUE: High‑performance computing (HPC) systems design or deployment. Familiary with NVIDIA CUDA-Q Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over Converged Ethernet, or similar high‑speed coherent interconnects. Experience supporting or developing error‑correction decoding pipelines (quantum or classical). Background similar to advanced academic research groups in quantum architectures or decoding (e.g., large‑scale syndrome decoding research). Experience performance‑modeling compute systems as a function of problem size and algorithmic complexity. Exposure to FPGA‑accelerated or heterogeneous compute systems. Detail-oriented mindset with a strong sense of ownership and technical accountability. Positive, collaborative working style and enthusiasm for mentoring and developing engineers. NOTE Job responsibilities and requirements are illustrative, other responsibilities may be assigned as needed. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license. TRAVEL Up to 10% travel may be required. WORKING CONDITIONS and PHYSICAL REQUIREMENTS Work will normally be performed in an office and laboratory environment and around technical equipment including computers and lasers. Able to sit, stand, bend, lift and carry up to 40 pounds without assistance. Able to efficiently use automated office equipment such as laptops, copiers, and printers; able to effectively engage in communications (via phone, computer, or in-person). Any required Personal Protective Equipment will be provided and must be properly used in accordance with company requirements. The targeted salary range for this role is $140,000 to $175,000 on an annualized basis plus eligibility to participate in our annual incentive plan. In addition to your base compensation, we offer a generous Total Rewards program which includes: 100% company paid Employee coverage for Medical, Dental, Vision, and Short/Long Term Disability insurance programs Employer funded Health Savings Account Unlimited Paid Time Off 401(k) Matching Programs Company paid Life and AD&D Insurance Flexible Healthcare Savings Account Paid FMLA Leave Paid Maternity/Paternity Leave Employer Assistance Program Student Loan Repayment Equity Package Equal Opportunity Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin color, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. Contact Information If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation due to disability, please feel free to contact us at hr@coldquanta.com.

Developing backend and frontend solutions, automating workflows, and collaborating across teams to improve operational efficiency. | Currently studying in a Bachelors or Masters program, experience with Python and Shell in Linux/Unix, knowledge of relational and NoSQL databases, and strong analytical skills. | Are you a fast learner who is fascinated by technology? Are you an analytical mind who loves solving complex business problems? Join Our Custom Government Engineering Team! The Custom Government team works with breadth and depth across Akamai's technology stack to deliver a rich and wide set of customized solutions for our Public Sector customers. We collaborate, build, and operate world-class Enterprise Application Delivery Networks for the Public Sector and make them fast, reliable, and secure. As a participant in our programs, you will gain valuable experience and make contributions through meaningful project work. All internship assignments are project-based and focused on real business challenges important to Akamai's continued success. You will be encouraged to be a proactive member on your team. You will take on a comfortable level of responsibility, and be challenged to think critically and creatively. Our 12-week intern program starts in May, and ends in August. Interns are required to be available 40 hours per week and be returning to school after the program ends. Help shape the future of the Internet During your time with us, you will be work with senior engineers and solve real customer problems. You'll be tasked with writing code in support of these larger projects or writing tools to improve how we work. You will have ample opportunities to learn new subjects and engage with various technologies, toolsets and software languages. The ideal candidate will be collegial, curious, agile, and demonstrate the ability to apply new skills in an ambiguous environment. As a Custom Government Intern, you will be responsible for: Developing backend and frontend solutions while automating workflows to improve productivity and operational efficiency. Building software features throughout the full software development lifecycle for internal use within Akamai. Collaborating with cross-functional teams to define standards and document processes. Learning about our distributed systems, products, and technical stack as needed for your role. Do what you love To be successful in this role you will: Be currently studying in a Bachelors or Masters program in Computer Science or a related field. Have experience developing with Python and Shell in a Linux/Unix environment. Have knowledge of databases, including NoSQL databases such as CassandraDB and CouchDB, as well as relational databases such as PostgreSQL. Be responsible, self-motivated, diligent, and able to think analytically and deliver solutions to complex problems. Work in a way that works for you We recognize that the way in which people want to work and deliver at their best can vary for each person. This is a flexible role and may be performed at your home and/or the local Akamai office (in the country advertised). We are happy to discuss working options in this role and encourage you to speak with your recruiter in more details when you apply. We power and protect life online, by solving the toughest challenges, together. At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here. Working for you Through our intern and co-op programs we will provide you with opportunities to grow, flourish, and achieve great things. Financial benefits offered to interns and co-ops, including a 401k and health insurance, are offered through our managed service provider (MSP). Students also gain the following benefits directly from our programs: Mentorship Career development trainings Visibility into senior leadership through Fireside Chats Networking and social events with an international intern cohort Final project showcase presented to the company Fun perks including Akamai branded merchandise About us Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away. Join us Are you seeking an opportunity to learn and make a real impact in a global technology company? Come join us and learn with a team of people who will energize and inspire you! By the end of your assignment, you will gain a network of encouraging colleagues ready to support you in your studies and beyond. #LI-remote

Support and modernize legacy COBOL applications on HP3000 systems, including high-volume file processing and migration efforts. | Extensive COBOL and HP3000 experience, familiarity with IMAGE databases, JCL, and data integration tools, with strong troubleshooting skills. | Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.Job DescriptionThe Application IT Developer IV analyzes, models, writes/modifies, and supports software source code that enables business capabilities, following established Software Development Lifecycle (SDLC) processes. They provide primary legacy platform support (COBOL on HP3000) that keeps high-volume file, print, and PDF production running reliably, while supporting Vericast’s transition away from HP3000 by answering process/COBOL job questions for migration teams and, where skills align, assisting with related ETL/Python-based migration development.KEY DUTIES/RESPONSIBILITIESDelivers personal tasks on time and leads the delivery of tasks for natural workgroup — 5%Applies excellent modeling principles and practices — 5%Participates on initiatives, with deliverables and meets quality standards, on time — 5%Leads initiatives, with deliverables and meets quality standards, on time — 5%Develops Applications / Reports / Systems — 5%Estimates component/application level work efforts — 5%Creates Application and System Design Documents — 5%Creates RFI/RFP requests / responses for vendor product evaluations — 5%Experience in multiple SDLC methodologies — 5%Technically proficient in application/component; may act as internal consultant — 5%Responsible for fulfilling end-user requests — 5%Good communication and facilitation skills — 5%Provides on-call support as required — 5%Good business acumen — 5%Periodically operates under deadlines and may be subject to extreme workloads — 5%Works with supervision, minimal supervision, or without supervision — 5%QualificationsEDUCATIONBachelor’s degree or equivalent work experience.EXPERIENCE4+ years with Bachelor’s degree or 10+ years work experience; hands-on COBOL/HP3000 experience supporting file-based, high-volume production environments strongly preferred.KNOWLEDGE/SKILLS/ABILITIESRequired Technical Skills:Strong COBOL programming expertise on HP3000.Experience with HP3000 IMAGE databases.Proficiency with Robelle tools (SuperTool, Qedit, MPEX).Solid JCL knowledge for batch processing, automation, and production workflows.Experience using ad hoc query tools for data analysis and validation.Working knowledge of POSIX/Apache in HP3000 or hybrid environments.Proven support of print production and file-based processing workflows; familiarity with banking/retail/marketing campaign contexts.Awareness of postal software/tools (e.g., BCC, Code1) and postal compliance/reporting.Desired / Plus Skills:Experience with ETL tools or data integration frameworks (designing mappings, orchestration, job monitoring).Python for data parsing, transformation, reconciliation, and automation; familiarity with packaging and logging for production use. (nice to have)Experience in hybrid legacy/modern environments and an appetite to learn new technologies as part of platform modernization.Strong documentation/knowledge-sharing to reduce single points of failure and provide PTO coverage.Professional Skills:Excellent troubleshooting and data analysis; attention to detail in deadline-driven, high-volume production.Clear communication and facilitation across technical/business teams; ability to translate legacy logic into modern design language.EQUIPMENT/SOFTWARE UTILIZEDHP3000, IMAGE, Robelle (SuperTool, Qedit, MPEX), ad hoc query tools; JCL/batch schedulers; version control; ticketing/knowledge tools; ETL toolsets.COMMUNICATION AND CONTACTSCommunicates directly with internal and external customers. Partners with Product Development and Print Production to align logic to configured product/campaign requirements and ensure accurate, timely delivery.Additional InformationBase salary: $77,000-$100,000The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.#LI-KK1 #LI-REMOTE Shift: 1st Compensation: USD77000 - USD100000 - yearly

Design and implement security foundations for AI platform infrastructure, including access control, secrets management, encryption, and threat modeling. | Extensive experience in building and operating security systems in production environments, with a focus on identity, access control, secrets, and threat detection. | About Luma When there’s a new wave of technology, you want to be at the core—that’s where you have the most impact, work on the hardest problems, and grow the most. You can’t find this at an AI startup building on someone else’s models—only at companies building the foundation models themselves. The models are where the real innovation is happening. As they get more powerful, they're not just improving existing software—they're replacing it entirely. Foundation model companies are now building products deeply integrated with their models that fundamentally transform how work gets done. Luma is exactly that: A top-tier research team with one of the best video generation models on the market (Ray-3.14) An enormous compute budget that only a few companies in the world can match ($900M Series C) The only one at that level directly targeting the creative space Building products that will completely change how creative work is done And we’re still small enough that a single great hire can reshape the company. Where You Come In We are looking for a senior, hands-on security leader to build the security foundations that will support Luma’s next stage of growth. Our models and products are becoming critical infrastructure for creative professionals and enterprises. As adoption scales, we are investing in modern, principled systems for identity, access control, secrets, encryption, and safe operation of autonomous AI. This is a builder role. You will design and ship the platform security systems and operational tooling that allow us to move quickly while meeting the expectations of world-class customers—things like auth and identity infrastructure, fine-grained access scoping, break-glass escalation systems, and agent permission frameworks. You will partner deeply with infrastructure, research, and product teams to make secure design the default, not something bolted on after the fact. What You’ll Do Design and mature how access to production systems is granted and governed Implement scalable RBAC / ABAC approaches across infrastructure and products Build robust secrets management and credential lifecycle practices Establish strong encryption and key management patterns Define how agents and automated systems receive authority, how it is scoped, and how it is revoked Create auditability and forensic visibility for user and system actions Lead threat modeling across infrastructure, product, and research domains Collaborate with engineering teams to make secure patterns easy and automatic Help drive readiness for enterprise security expectations and reviews Strengthen incident detection and response capabilities Raise the company’s security bar while preserving development velocity Who You Are Required: You have built and operated security foundations in real production environments You are excellent at writing code, reviewing infrastructure, and shipping systems You recognize that in AI platforms, software systems can act with real authority You’ve thought deeply about how services, automations, or models are scoped, constrained, and observed You think in terms of systems and trust boundaries You have high agency—you identify problems and drive them to resolution You can balance pragmatism with long-term rigor Engineers trust you and enjoy partnering with you What Sets You Apart You’ve helped organizations evolve toward mature, scalable security architectures You have experience implementing least-privilege access and modern identity models You’ve built durable approaches to secrets management and credential lifecycle You understand the nuances of securing multi-tenant AI platforms You have strong opinions on how autonomous systems should be permissioned and governed You know how to build detection and response capabilities in high-growth environments You can represent the company in detailed customer and partner security discussions You build platforms and paved roads that engineers love to use Why This Role Exists AI systems are becoming actors. They retrieve data. They call tools. They take actions independently. Security is no longer just about who can log into a machine. It’s about defining how authority is granted, constrained, observed, and trusted across humans and intelligent systems. We are building those foundations now. If you want to shape how security works at an AI-native company operating at global scale, we should talk.

Design and operate large-scale GPU infrastructure, improve system reliability, and scale training and inference workloads. | Deep expertise in Linux, distributed systems, GPU cluster operation, Kubernetes, and low-level hardware/software debugging, with leadership in reliability engineering. | About Luma AI A new class of intelligence is emerging, systems that understand and generate the world across video, images, audio, and language. Building multimodal AGI is not just a modeling challenge. It is an infrastructure challenge at the edge of what hardware, software, and organizations can support. At Luma, we operate rapidly scaling 10k+ GPU fleets, pushing utilization, throughput, and reliability hard enough that yesterday’s solutions break regularly. Researchers depend on this infrastructure to move the frontier forward. Customers depend on it to power real creative work. Many companies run accelerators. Very few sit directly next to the teams inventing the models that redefine what those accelerators must do. At Luma, improvements to scheduling, efficiency, and reliability immediately translate into faster research iteration and entirely new product capabilities. We are still early. The playbook is still being written. A single exceptional engineer can reshape how the company operates. Where You Come In Our Infrastructure Engineering team is a systems engineering group with company-level responsibility. At Luma, reliability engineers work directly with the researchers and products pushing the limits of multimodal intelligence. We operate close to the metal: Kernels Containers Schedulers Networking Storage GPU behavior But we are also responsible for something bigger: Turning deep systems knowledge into repeatable, scalable reliability for the entire company. We are hiring a leader who will define that direction. You will be a technical authority, an organizational force multiplier, and a magnet for other great engineers. What You’ll Own Reliability of the Frontier Architect and operate large, heterogeneous GPU environments under extreme demand Improve utilization and performance where small gains materially change company outcomes Resolve failures that span hardware, OS, runtimes, and orchestration Eliminate entire classes of instability Build mechanisms that make heroics unnecessary Scaling Training & Inference Define how infrastructure and workloads evolve as cluster size and concurrency grow Design scheduling, placement, and resource management approaches for increasingly complex jobs Work directly with research to build the systems required for new model capabilities Ensure inference platforms scale rapidly without sacrificing reliability or latency Anticipate where today’s abstractions will fail and redesign ahead of them Building the Organization Hire and develop exceptional systems and reliability engineers Set the bar for technical depth, judgment, and production ownership Shape architecture early through strong partnerships with research and product Translate reliability constraints into long-term platform strategy Who You Are Required: Deep expertise in Linux and distributed systems Experience operating GPU / accelerator clusters in real production environments Strong fluency in Kubernetes and modern open-source infrastructure Comfortable debugging across hardware → kernel → runtime → orchestration You understand how systems behave under contention and at scale You write code and build automation You think in bottlenecks, failure modes, and tradeoffs Engineers trust your judgment, especially when things break Important: This role requires comfort operating close to upstream and close to the metal. If most of your experience has been inside highly abstracted internal platforms where others owned the underlying machinery, this is unlikely to be a match. Leadership Expectations You raise reliability standards across the company You influence product and research architecture early You build strong partnerships, not ticket queues You attract and level up exceptional engineers You are curious how models use infrastructure, because improving systems expands what becomes possible Why This Role Is Special Most infrastructure roles optimize mature systems. This one helps define how reliability works for a new generation of AI infrastructure. The decisions you make here will influence: How research progresses How products scale How customers trust us And how the engineering organization grows If you want to build the reliability foundations of a company operating at the technological frontier, we should talk.

Lead technical direction and system architecture for AI-driven products, ensuring disciplined decision-making and scalable solutions. | Over 8 years of experience in building and shipping production software, with proven leadership in technical projects, and fluency with AI coding tools. | About Luma A new class of intelligence is emerging, systems that understand and generate the world across video, images, audio, and language. Building multimodal AGI is not just a research problem. It’s a full-stack engineering problem, spanning training systems, inference, product architecture, and the tight feedback loops between them. When a new technological wave begins, the highest leverage place to be is at the foundation. Not at a startup wrapping someone else’s API. At the company building the models themselves. The frontier is not incremental improvement. These models are replacing entire categories of software and enabling entirely new ones. At Luma, we are: A leading multimodal AI research lab, having built one of the world’s strongest video generation models (Ray-3.14). Pushing beyond video toward the next generation of multimodal general intelligence models. Operating at a scale few companies can match, with the compute and resources to support frontier research ($900M Series C). Focused on the creative domain, where multimodal systems can have immediate real-world impact. Shipping tightly integrated products that turn research breakthroughs into tools creators actually use. We’re still early. The playbook is not written. A single exceptional engineer can reshape how the company operates. Where You Come In We are looking for senior engineers who understand that the game has changed. The era of humans writing code is over. AI makes implementation cheap. Decision-making is now the constraint: What to build. What not to build. Where to draw boundaries. What problems deserve structure, and which should stay flexible. With AI tools, weak decisions compound faster. Speed amplifies both clarity and mistakes. We need technical leaders with exceptional judgment, engineers who can direct AI to move quickly while making disciplined choices about scope, structure, and tradeoffs. This role is not about writing more code. It’s about deciding where code should exist at all. You will spend your time on the decisions that shape velocity: Translating ambiguous goals into clear technical direction. Choosing when to invest in structure and when to stay lightweight. Preventing unnecessary complexity from entering the system. Aligning product intent with technical reality. Teaching others how to use AI tools without overbuilding. AI can generate solutions to any prompt. It cannot decide which problems are worth solving. That responsibility is yours. The ideal candidate has deep technical judgment (system design, architecture, security) and strong product intuition (user needs, prioritization, UX). What’s non-negotiable: you must be world-class at directing AI agents to achieve real product and engineering outcomes, and at guiding technical direction for a team operating at high speed. What You’ll Do Direct AI coding agents to build production systems quickly, while maintaining discipline around system design, ownership, and real-world behavior. Decide what to build and what not to build as implementation costs drop. Set technical direction across engineering, including system boundaries, data models, ownership, and operational expectations. Co-own product direction in partnership with design and research, defining both what we build and how we build it. Make and stand behind hard tradeoffs between speed, reliability, complexity, and extensibility. Shape architecture early, before decisions harden into constraints. Own critical outcomes end-to-end, from problem framing to deployment and iteration. Raise the Bar Set the standard for technical depth, judgment, and production ownership. Prevent avoidable complexity from entering the system as iteration speed increases. Mentor engineers on how to use AI tools effectively without lowering engineering rigor. Identify and eliminate recurring classes of design mistakes before they scale. Multiply the Organization Design systems and workflows that allow small teams to ship with outsized impact. Attract exceptional engineers and help them grow into high-judgment technical leaders. Increase team velocity without increasing operational and conceptual overhead. Who You Are Required: You have 8+ years of experience building and shipping production software. You have led multiple non-trivial projects, owning technical direction and execution end-to-end. You have made high-stakes technical decisions that materially affected a system or product. You are fluent with AI coding tools and have used them to ship real functionality in production or substantial side projects. You possess either: Strong technical depth: System design, distributed systems, security, infrastructure. Strong product intuition: User empathy, prioritization, taste in UX. (Ideally, both) What Sets You Apart You’ve been personally responsible for at least one clearly measurable, real-world success. For example: You led a product that reached 100k+ users or 1M+ monthly active users. You designed and led a production system serving millions of requests per day. You created or led an open-source project with 10k+ stars or meaningful external adoption. Why This Role Exists Most engineering roles optimize mature products. This one defines how software gets built inside a frontier multimodal AI lab. The decisions you make here will shape: How research turns into products. How those products scale. How fast we can move without losing rigor. How engineering operates in an AI-native company. If you want to help set the standard for technical leadership in this new era of AI, we should talk.

Design, build, and optimize data infrastructure and frameworks supporting data ingestion, processing, and analysis. | Requires 5+ years in software development, proficiency in Python, Java, or Scala, experience with big data technologies like Spark, Kafka, Hive, and AWS at scale. | Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient, fair, and transparent, but automation never makes the final call. Every hiring decision is made by real Twilions, ensuring a human touch at every step. . See yourself at Twilio Join the team as Twilio's next Software Engineer on our Data & Analytics Platform About the job We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies. Responsibilities In this role, you’ll: Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis. Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions. Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena. Design and implement frameworks and solutions for performance, reliability, and cost-efficiency. Ensure data quality, integrity, and security throughout the data lifecycle. Stay current with emerging technologies and best practices in big data technologies Mentor early in career engineers and contribute to a culture of continuous learning and improvement Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development or a related field. Strong proficiency in programming languages such as Python, Java, or Scala. Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems. Experience with AWS technologies at scale Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices. Excellent problem-solving and analytical skills. Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment. Desired: Bias to action, ability to iterate and ship rapidly Passion to build data products, prior projects in this area Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - 173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600. Based in the San Francisco Bay area, California: $163,100 - 203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until February 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Lead and contribute to the development of scalable, reliable systems supporting supply chain, customer service, and manufacturing functions, providing technical guidance and architecture design. | Extensive experience in software engineering, leadership in large initiatives, and familiarity with event-driven systems and AI integration are preferred. | Background Fanatics Collectibles Engineering is building products to transform the trading card industry and while we may be a growing team building new and evolving legacy digital products, we also have the backing of Fanatics – the world’s largest sports merchandiser with over 900 sports relationships and more than 81 million reachable fans. We have exclusive licensing deals with the MLB, NFL and NBA and the products we build will be used by millions of trading cards fans from day 1. We are out to reinvent the trading card industry, which is a bold and ambitious mission. What does this mean as a member of the engineering team? We move fast. We have a lot to do and are looking for folks who will drive projects to completion with a sense of urgency, but not at the expense of quality, scalability, and performance. We understand that we’ll be responsible for maintaining these projects for the foreseeable future and how investments in quality today allow you to move more quickly tomorrow. We think about scale. The trading card market is large and we will be the de facto entry point into the hobby, and that modern consumers expect nothing less than the real time flow of information when interacting with technology today. We’re pragmatic. We embrace new technologies but focus on using the best tool for the job. We are flexible. The industry moves quickly and shifts continuously. We ensure that we are building systems to accomplish the next goal, not those focused on the last one. The Role: We are looking for a Staff Software Engineer to act as a technical leader for a team composed of multiple functional pods, including Supply Chain, Customer Service, and Manufacturing. In this role, you will support engineers across these pods by providing technical guidance, architectural direction, and hands-on assistance, while helping ensure the systems we build are reliable, scalable, and maintainable. This role may also serve as the technical lead for specific initiatives. As a technical lead, you will guide projects from planning through delivery, including attending and contributing to project meetings, partnering closely with product management to define scope and approach, breaking work down into executable plans, and designing the technical architecture for the systems being built. Staff Engineers at Fanatics Collectibles are expected to remain hands-on contributors. You will write production code and implement key parts of the system, particularly in areas that are complex, high-impact, or require deep technical context. The amount of hands-on development will vary over time based on project needs, but candidates should expect to spend up to roughly half of their time writing code. In addition to individual contribution, this role carries meaningful leadership responsibilities. You will support other engineers as they work through implementation, help unblock delivery, review designs and code, and ensure projects are delivered successfully. You will also contribute to broader technical decision-making and alignment across the team. Beyond project delivery, this role will help improve the overall effectiveness of the team. You will contribute to strengthening on-call and production support practices, improving the developer experience, and enabling the thoughtful adoption of new tools and capabilities, including emerging technologies such as AI-powered development tools. Some indicators that this role may be a good fit for you: Over 10 years of software engineering experience Experience designing software and working with teams that are responsible for supply chain, logistics or industrial manufacturing in a mid-sized to large business. You’ve previously acted as the technical lead for large multi-month initiatives while working closely with a Product Manager and stakeholders from early discovery to implementation and delivery Designing or operating event-based systems leveraging event-sourcing is a significant plus. Strong track record of integrating AI-assisted tools into daily development workflows to improve throughput and quality, while retaining ownership of technical decisions and outcomes. Experience delivering and maintaining production applications in Elixir, Phoenix, and LiveView is not required but highly desirable. Experience with other languages like Typescript, Ruby, Python or other similar languages is also acceptable. You demonstrate a unique and extraordinarily effective problem-solving perspective and approach. You’re constantly thinking about how your work and experience can help make other engineers and teams more productive. Experience working across domains and enabling engineers to be more productive, efficient and innovative through personal leadership and technical contributions. In NYC, the salary range for this position is $190,000 - $237,500, which represents base pay only and does not include short-term or long-term incentive compensation. The listed salary range is specific to NYC and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Fanatics Collectibles is a new model and vision for the hobby, fundamentally changing the experience for current and future collectors, leagues, and players across many U.S. and international professional and college sports. The organization has long-term, exclusive rights to design, manufacture and distribute trading cards for several sports and entertainment properties, including MLB, MLBPA, the Premier League, MLS, UFC, Formula 1 as well as Disney, Marvel, Pixar, and Star Wars, among others. In January 2022, Fanatics Collectibles announced the acquisition of Topps, establishing the preeminent licensed trading card brand as the cornerstone of Fanatics’ trading cards and collectibles business, and jumpstarted its MLB and MLBPA rights to design, manufacture and distribute trading cards

Designing and implementing scalable, high-performance distributed systems and data streaming services. | Requires 5+ years in distributed systems, proficiency in Java/TypeScript/Go/C++, and experience with Linux networking and multithreading. | Are you passionate about cutting edge technology? Do you enjoy solving large scale distributed systems problems? Join our highly skilled Data Engineering Team! The Data Engineering team is part of Cloud Technology Group, which delivers cutting-edge cloud and edge networking solutions to the market. We design, implement, deploy and operate big data streaming platforms with a primary mission to enable product teams to develop high-performing operationally safe and secure products in an agile manner. Make a difference in a critical area of our business As a Senior Software Engineer, you will join a team of platform infrastructure software engineers. Your team will enhance platform core services and will design and optimize how we work with data both in FedRAMP Moderate(FRM) and FedRAMP High (FRH) environments. You will lead in enabling efficient data collection, processing, telemetry, delivery and visualization across our business. As a Senior Software Engineer, you will be responsible for: Contributing to the design and implementation of highly available, scalable, and performant solutions in C/C++/Go/Java Building, integrating, supporting and improving data streaming services on Akamai Platform Developing highly concurrent systems, profiling, analyzing and optimizing CPU, memory, and I/O usage to deliver low-latency, high-throughput software solutions with above 99% completeness Designing and developing full stack SW from front end UI/API to backend infrastructure making data delivery seamless Working on projects that focus on system security, scalability, and performance Working with our multi-tier engineering support teams to troubleshoot complex distributed problems of our network Providing technical guidance and code reviews for junior engineers, fostering best practices and knowledge sharing Do what you love To be successful in this role you will: Have 5 years of relevant experience with BS/MS degree in Computer Science/related field Have 5 years experience with distributed systems, Linux networking, TCP/IP, SSH, SSL, and HTTP protocols Be proficient in one or more of the following languages: Java/TypeScript, Go, C and C++ Have expertise in at least one scripting language: Python, Perl, or Shell. Possess solid understanding of multithreading, concurrency primitives, and synchronization mechanisms. Be passionate about solving large-scale distributed systems problems, pay meticulous attention to detail, and have excellent debugging/troubleshooting skills Build your career at Akamai Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact. With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here. Learn more Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details. Compensation Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $121,400 - $218,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.