Your responsibilities

Design and ship backend services, APIs, data flows, and background processing for production systems.
Turn vague requirements into concrete technical plans, trade-offs, and execution.
Own services after launch: reliability, observability, performance, and incident follow-through.
Instrument what you ship and use production signal to iterate.
Make sound decisions around system boundaries, data models, interfaces, and scaling paths.
Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes.
Improve engineering leverage with AI tooling, automation, and internal workflows.
Raise the quality bar through code review, design review, and pragmatic technical leadership.

Our requirements

Strong senior-level backend engineering experience in production systems.
Strong Python skills and the ability to design clean, maintainable backend code.
Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries.
Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure.
Comfort with database schema design and performance tuning for real-time and high throughput scenarios.
A security-conscious approach to engineering: handle sensitive data carefully and consider security implications.
Ability to go from problem statement to design to production rollout with real ownership.
Clear written and verbal communication.
AI-native working style; already use AI tools in daily engineering workflow.

Experience building agentic systems: AI agents, tool-calling, orchestration, retrieval, or LLM-backed infrastructure in production.
Working knowledge of TypeScript or the ability to contribute across the stack when needed.
Experience shaping technical direction for other engineers, even without formal management responsibility.