• Own the design, build, and operation of Kubernetes cluster management tooling and automation that keeps our compute platform reliable and self-healing at scale. • Build developer-facing tooling and workflows that improve how engineers across Coinbase interact with Kubernetes, with a heavy emphasis on integrating AI-driven processes and support. • Deliver net-new compute capabilities for service owners, such as one-off jobs, cron scheduling, deployment strategies, EFS support, and automated right-sizing. • Drive operational excellence by automating toil, reducing on-call burden, and continuously improving platform observability and incident response. • Partner with Security, Reliability, and Observability teams to ensure the compute platform meets Coinbase's standards for security, uptime, and performance.

• Design, build, and ship product features across the Fireworks platform — including the developer console, API surfaces, model playground, fine-tuning workflows, deployment management, and billing • Own features end-to-end: scope the problem, build the solution, ship it, instrument it, and iterate based on real usage • Build and improve the developer experience for Fireworks' core product capabilities — serverless and on-demand inference, supervised and reinforcement fine-tuning, multi-LoRA serving, and agentic orchestration • Work across the full stack — frontend (React/TypeScript), backend services (Python, Go), APIs, and data layers — to deliver polished, production-quality product surfaces • Build for products that are evolving rapidly: new model types, new serving paths (standard, priority, fast), new consumption models like Fire Pass, and new capabilities like multi-agent harness tooling • Partner closely with Infrastructure, Applied Research, Growth, Data and Design to translate platform capabilities into intuitive developer-facing products • Instrument and monitor the systems you build, using data to understand how developers use the platform and where friction exists • Move fast and make pragmatic trade-offs — the pace of AI infrastructure demands shipping early, learning quickly, and iterating with conviction

• Deliver good software well • Design, write, review, test, and deploy code across our stack with quality and velocity, effectively incorporating AI coding tools productively and responsibly based on product needs and technical understanding • Develop and extend automated unit, integration, and end-to-end test suites • Collaborate on data modeling, application architecture, and technology decisions including what’s working, not working, and ideas for how to improve • Thoughtfully plan and estimate development, communicating tradeoffs and risks early • Participate in shared support duties and help maintain the reliability of our systems • Collaborate on pod purpose • Contribute to pod feature definition, design, and technical direction, not just execute against it • Improve documentation and knowledge sharing across the Engineering team • Partner with Product and Design to understand what we're building and why, and bring technical perspective into those conversations early • Grow with Intention • Actively seek mentorship and provide it where you can • Use Friday focus time to build skills that matter to your growth and our roadmap • Participate in learning and growth opportunities — book clubs, tech guru sessions, share & tells • Deepen your understanding of Spoiler Alert's industry, customers, and mission over time

• Improve the end-to-end experience for new customers adopting the Pantheon platform • Interface with almost every department on high priority initiatives • Revamp how customers discover, evaluate, onboard and get value from our product • Work on technologies like Python services and our GraphQL gateway • Manage authentication and authorization systems using Auth0 • Utilize infrastructure managed with Terraform on Google Cloud