• Design, develop, and maintain robust, scalable backend services following Domain-Driven Design (DDD) principles • Take full technical ownership of features — from design through deployment and monitoring • Build and orchestrate agentic workflows : autonomous pipelines where AI models (Claude, LLMs) take actions, call tools, and solve tasks with minimal human intervention • Actively participate in architecture decisions with strong analytical thinking and technical depth • Ensure code quality through SDD, TDD, and BDD methodologies, with sharp attention to detail • Collaborate on code reviews, refinements, and technical planning • Proactively identify and address technical debt, performance bottlenecks, and security risks (OWASP, SOLID) • Build and maintain CI/CD pipelines across Bitbucket, GitLab, or GitHub • Produce well-reasoned technical designs before writing the first line of code

• Writing technical design specifications based on project features • Developing modules for product • Collaborating with team members and taking the initiative in solving technical issues • Creating and iterating on team standards and methodologies with the goal of creating well-designed reusable code • Developing ad-tech domain • Managing various stages of entire software development life cycle

Role Description As a Sr. Full Stack Developer I, you’ll be supporting a highly effective agile scrum team. You will deliver hardened, effective, scalable software solutions through the completion of user stories across agile sprints. You will collaborate with team members and provide guidance and leadership to the technical team with the goal to make an impact across the federal government. What you’ll do: - Participate in and contribute to all agile scrum ceremonies - Complete user stories to deliver new features and enhancements to a web application portfolio within sprint deadlines - Contribute to troubleshooting and issue resolution Qualifications - Must be able to obtain and maintain DHS EOD and fitness determination. DHS EOD requires U.S. Citizenship. - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field - Minimum of 10 years of professional experience in information systems design and application development - Demonstrated experience with application programming on large-scale Database Management Systems (DBMS) - Proven ability to develop complex software solutions that meet detailed design objectives - Strong understanding of system architecture, software development lifecycle (SDLC), and technical documentation standards - Experience leading or mentoring developers and providing technical guidance - Strong problem-solving and analytical skills Requirements - Must be able to obtain and maintain DHS EOD and fitness determination. DHS EOD requires U.S. Citizenship. Benefits - Health, dental, and vision insurance - 401(k) retirement plan with company match - Paid time off (PTO) and holidays - Parental Leave and dependent care - Flexible work arrangements - Professional development opportunities - Employee assistance and wellness programs

Role Description DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our AI Inference Optimization team. You will help ensure we can offer industry-leading performance for our inference services. - Performance Architecture: Lead the technical strategy for benchmarking and performance optimizations at the inference engine and GPU kernel layers. - Deep-Dive Optimization: Engineer solutions for complex performance issues, including attention layer optimizations, memory and precision management, and advanced parallelization across multi-node GPU clusters. - Technological Innovation: Proactively implement cutting-edge optimization techniques to keep DigitalOcean at the forefront of the Gen AI landscape. - Hardware & Ecosystem Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). - Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy. - Technical Mentorship: Lead by example through high-quality code and design reviews. - Strategic Collaboration: Partner with Product Management and TPMs to translate "theoretical hardware limits" into "shippable product features." - Community Leadership: Maintain a strong presence in the GPU infrastructure and model performance optimization communities. Qualifications - 5+ years of experience in high-performance computing or AI infrastructure. - Deep familiarity with the Gen AI (LLM, VLM, LMM) landscape. - Hands-on experience with attention-layer optimizations and parallelization strategies across distributed GPU environments. - Comprehensive understanding of NVIDIA and AMD GPU architectures and their respective software ecosystems (CUDA, ROCm, etc.). - Extensive experience integrating, building with, and contributing to open-source software projects. - Excellent system design skills, particularly related to low-level GPU programming. - Experience acting as a technical lead, driving design and delivery through cross-functional alignment. - Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores). - Expert-level Triton or CUDA experience. Requirements - Proven track record of solving compute utilization and memory bandwidth bottlenecks. - Experience with attention-layer optimizations and parallelization strategies. - Expertise in low-level GPU programming and optimization. Benefits - Competitive array of benefits including Employee Assistance Program and flexible time off policy. - Reimbursement for relevant conferences, training, and education. - Access to LinkedIn Learning's 10,000+ courses for continued growth and development. - Salary range based on market data, relevant years of experience, and skills. - Potential for bonus based on company and individual performance. - Equity compensation to eligible employees, including equity grants and Employee Stock Purchase Program. Company Description DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.