411,640open jobs
14,266companies
71,205added this week
Browse all
Salary
$218k – $411k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 12+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
ServiceNow is an American enterprise software company founded in 2004 by Fred Luddy and headquartered in Santa Clara, California. It began by replacing clumsy IT ticketing systems with a configurable workflow platform, then extended the same engine across employee, customer, security, risk and supply chain processes, so a single system routes work between people and systems across departments. Listed on the New York Stock Exchange, the company now builds AI agents into every workflow through its Now Assist and AI Platform products, and it counts most of the Fortune 500 among its customers.

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.

Join us to put AI to work for people.

The Role

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

To be successful in this role you have:

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:

  • 12+ 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. 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.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

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.

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
411,640 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Mountain View
In office • 3+ years exp
Python
Go
TypeScript
Databases
Google BigQuery
BigQuery
DevOps
Terraform
GCP
Prometheus
CI/CD
Git
Docker
Grafana
Google Cloud Run
Apply
ML Engineer 2 days ago
Remote/Hybrid • 5+ years exp
Python
Go
Java
C++
Databases
ElasticSearch
AI/ML
NLP
LLM
Recommender Systems
DevOps
GCP
Azure
AWS
Apply
Founding Engineer 2 days ago
$137k – $190k per year • In office • Full-Time • 3+ years exp • New York
Python
TypeScript
AI/ML
AI Agents
LLM
Apply
Founding Engineer 2 days ago
$150k – $220k per year • In office • Full-Time • 4+ years exp • New York
Python
AI/ML
Fine-tuning
Reinforcement Learning
AI Agents
LLM
Apply
$150k – $250k per year • In office • Full-Time • 1+ year exp • San Francisco
JavaScript
TypeScript
AI/ML
AI Agents
Frontend
Tailwind CSS
React.js
DevOps
Vercel
Design
Figma
Apply
$129k – $219k per year • Equity • In office • Full-Time • 5+ years exp • Chicago
Management
ServiceNow
Apply
$158k – $275k per year (Estimated) • In office • Full-Time • 7+ years exp • Orlando
Management
ServiceNow
Apply
$181k – $317k per year • Equity • In office • Full-Time • 10+ years exp • San Diego
AI/ML
AI Agents
DevOps
GCP
Azure
CI/CD
GitOps
AWS
Kubernetes
IAM
Management
ServiceNow
Apply
$146k – $217k per year • Equity • In office • Full-Time • 15+ years exp • Waltham
Management
ServiceNow
Apply
$126k – $188k per year • Equity • In office • Full-Time • 15+ years exp • Nashua
Management
ServiceNow
Apply
$200k – $280k per year • Equity 0–0.2% • In office • Full-Time • 3+ years exp • Mountain View
AI/ML
AI Agents
Apply
GTM Intern 3 hours ago
$43k – $104k per year (Estimated) • Remote • Internship • Mountain View
Apply
Applied AI Intern 3 hours ago
$62k – $84k per year • In office • Internship • Mountain View
Python
C++
Apply
$62k – $84k per year • In office • Internship • Mountain View
Python
C++
Apply
$140k – $220k per year • Equity 0.5–2% • In office • Full-Time • 1+ year exp • Mountain View
Python
C++
SystemVerilog
Apply
See all jobs
This is one of many
411,640 more open roles from verified company boards, updated every day.