Senior Software Engineer, Engine & Distributed Systems

What you'll do

• Own the execution engine: the runtime, scheduling, and sub-agent parallelization that run every agent on the platform.
• Make long-running work durable: build checkpointing, resumption, and recovery so agents survive failures and restarts and pick up exactly where they left off.
• Shape the execution model: decide how work is scheduled, queued, and moved from synchronous to asynchronous, so the platform stays correct and responsive as load grows.
• Engineer for scale and reliability: hold the engine to strict health targets for worker freshness, deploy safety, and drain time, and keep latency and throughput strong as volume grows.
• Keep the engine open to the ecosystem: make it straightforward to bring new agent harnesses, orchestration frameworks, and model capabilities into the runtime.

Requirements

• 5+ years building backend systems in production, with real depth in distributed systems.
• Hands-on experience with durable execution or workflow orchestration (Temporal, Cadence, or equivalent), with a way of thinking rooted in idempotency, state machines, and failure recovery.
• Strong command of concurrency, queueing, retries, and fault tolerance under load.
• Strong in Python and modern backend frameworks (FastAPI or similar), with sound database fundamentals (Postgres or similar).
• Drawn to the correctness problems that everything else quietly depends on.

Nice-to-haves

• Operating Temporal at scale.
• Event-driven architectures and message queues.
• Experience with Pydantic, AI, LangGraph, or similar.
• AI or agent runtimes: tool-calling, sub-agent orchestration, streaming.
• Performance and cost optimization of high-throughput backends.
• Startup or growth-stage experience.