Senior Engineer

Who you are

• Deep, broad backend experience on complex systems. We weigh breadth and depth over exact years, but strong candidates usually have a decade or more
• Fluent in TypeScript, Python, and Go, with three or four languages on your resume. Rust or similar is a plus
• You've built robust backend services and platform infrastructure
• You've architected systems and data schemas across relational and non-relational databases
• Fluent with AI coding agents and use them daily to ship faster without dropping quality
• Startup grit: you self-manage, stay hands-on, and partner well across teams
• You've mentored or led a small team as a player-coach, and you'd be open to doing more of that here over time.
• You have infrastructure and DevOps depth (Terraform, Kubernetes, CI/CD)

What the job involves

• You're a platform generalist with real backend depth
• You're happiest with genuine ownership and comfortable with the ambiguity of an early-stage company
• This is a hands-on role first: you'll spend most of your time writing code and designing systems
• You self-manage, you work across teams, and you already lean on AI coding agents to move faster
• As the day-to-day of engineering shifts toward orchestration, design, and cross-team work, that's increasingly where you spend your time
• Design, build, and evolve the core backend services and platform infrastructure the rest of engineering depends on
• Architect distributed backend systems and services that hold up under high traffic and data volume, and own the service boundaries, data models, and API contracts behind them
• Design asynchronous, event-driven systems using queues, workers, and messaging where they fit
• Integrate third-party platforms and services, and own the reliability challenges that come with them at scale
• Build self-service platform capabilities so product teams can ship without waiting on you
• Shape our data architecture across relational and document stores: schema design, storage choices, and the tradeoffs behind them
• Keep the platform observable and dependable through instrumentation, sensible SLOs, and steady incident response
• Raise the engineering bar by setting technical standards, sharing patterns, reviewing code, and mentoring engineers across levels
• Own complex, cross-team projects from concept through production, aligning partners and keeping the work moving without being asked
• Use AI coding agents, including tools like Claude Code, as a normal part of how you build