- Design and own scalable backend services from first commit to production — APIs, data models, versioning, SLOs, and on-call included
- Build and evolve high-performance, secure infrastructure that handles real load — not just greenfield, but messy reality
- Wire LLM-powered capabilities reliably into product flows: suggestion APIs, RAG-backed endpoints, agent tool calls — you make AI actually land in production
- Work closely with frontend, product, and AI teams — your APIs are their foundation, so you design them to last
- Make the hard tradeoffs: schema migrations, breaking changes, dependency upgrades — with judgment, not just best practices
- Raise the quality bar through automated testing (unit, integration, end-to-end) and push for architectural improvements that matter
- Lead incident investigations on your own services, write the postmortem, and escalate only once you have answers