Senior Staff Software Engineer, Agentic Systems - Moveworks

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.

What you get to do in this role:

• 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, For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

You should have deep experience in at least 3 of these areas:

• Distributed systems: consistency models, idempotency, exactly-once delivery, distributed locking/leasing
• Concurrent/async programming: Python asyncio, Go goroutines, structured concurrency, cancellation handling
• Event-driven architectures: message queues (SQS, Kafka), pub/sub, backpressure, delivery guarantees
• Database systems for infrastructure: DynamoDB (conditional writes, transactions), Redis (connection pooling, pub/sub)
• Observability: OpenTelemetry, distributed tracing, span context propagation, Prometheus metrics
• gRPC/protobuf: streaming RPCs, service interface design, error handling patterns

Required:

• 10+ years building production backend/infrastructure systems
• Strong in Python or Go (ideally both)
• Experience designing and operating systems that handle real traffic at scale
• Comfort with ambiguity - these are novel problems without textbook solutions

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here (https://careers.servicenow.com/life-at-servicenow#workpersonas) . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500 work smarter, faster, and better. We’re building an AI-native culture where technology and talent are unstoppable together. And we’re just getting started.