Auto-apply is a Pro feature

Let Findyet apply to this job for you:

  • Your CV is tailored to this posting.
  • The application form's questions are answered from your profile.
  • You review everything and approve before anything is sent.
  • Findyet submits the application and adds it to your tracker.

Available on Greenhouse postings today, up to 3 applications a day on Pro.

The first 100 verified accounts get Pro free for 90 days.

See plans

ServiceNow

Staff Software Engineer (Agentic Systems - Moveworks)

Posted Updated
Discussion
  • We’re building the runtime infrastructure that powers Moveworks’ AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real time
  • This is not an ML role
  • This is a distributed systems engineering role at the heart of the agentic AI wave
  • Our AI agents can plan, execute multi-step workflows, call tools, wait on human input, and resume — all while maintaining correctness, observability, and low latency
  • The systems that make this possible are what you’ll build and own
  • Agent orchestration engine — A state machine that manages long-running agent sessions, coordinating planning, execution, and user interaction across multiple LLM calls and tool invocations
  • Distributed session management — Lease-based ownership using DynamoDB conditional writes, heartbeat protocols, and crash recovery via checkpointing
  • Event-driven message pipeline — SQS FIFO queues for ordered delivery, Kafka consumers for event processing, and real-time streaming via gRPC and Socket.IO
  • Structured concurrency — Python asyncio TaskGroups running multiple concurrent tasks per session (message polling, lease heartbeats, output publishing, orchestrator execution) with fail-fast semantics and graceful cancellation
  • Observability infrastructure — OpenTelemetry instrumentation, distributed trace context propagation across async boundaries, custom span lifecycle management for sessions that span minutes
  • Caching and state layers — Redis, DynamoDB KV stores with per-org/per-bot scoping, batch read optimization, and hot-reload configuration

Benefits

  • Generous family leave
  • Matched donations
  • Annual learning stipends
  • Flexible PTO
  • Competitive retirement plan
  • Paid volunteer time
  • Experience designing and operating systems that handle real traffic at scale
  • Comfort with ambiguity — these are novel problems without textbook solutions
  • 7+ years building production backend/infrastructure systems
  • Strong in Python or Go (ideally both)
  • You should have deep experience in at least 3 of these areas:
  • Distributed systems: consistency models, idempotency, exactly-once delivery, distributed locking/leasing
  • Observability: OpenTelemetry, distributed tracing, span context propagation, Prometheus metrics
  • Database systems for infrastructure: DynamoDB (conditional writes, transactions), Redis (connection pooling, pub/sub)
  • GRPC/protobuf: streaming RPCs, service interface design, error handling patterns
  • Event-driven architectures: message queues (SQS, Kafka), pub/sub, backpressure, delivery guarantees
  • Concurrent/async programming: Python asyncio, Go goroutines, structured concurrency, cancellation handling

Skills

What Staff Software Engineering jobs ask for — and how much of it you have →
Apply

See also

Software Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.