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ServiceNow's Advanced Technology Group is building intelligent software and AI-powered work experiences that combine AI workers, workflows, chat, knowledge, and integrations to make complex enterprise operations accessible to everyday users.
You will be a backend-leaning full-stack engineer solving problems across product and system layers. You will build customer-facing capabilities spanning the browser, APIs, data models, realtime infrastructure, asynchronous jobs, and external integrations. You will have autonomy to shape problems, make sound architectural decisions, and own work from idea through production.
Key responsibilities include:
- Building AI-powered product capabilities across React, Node.js, PostgreSQL, and shared contracts
- Owning features from product definition and system design through implementation, testing, deployment, and operation
- Designing secure APIs, authorization rules, data models, and backward-compatible migrations
- Building reliable asynchronous and realtime workflows using queues, pub/sub, jobs, schedules, and WebSockets
- Developing enterprise integrations involving OAuth, webhooks, rate limits, external APIs, and vendor failure handling
- Protecting tenant boundaries and validating untrusted input across HTTP, sockets, queues, and AI tool execution
- Building, deploying, and operating services on AWS and Kubernetes
- Diagnosing production behavior using logs, traces, metrics, databases, and message brokers
- Working closely with product, frontend, AI, and platform engineers while independently driving execution
- Helping evolve engineering practices as AI changes how software is designed and built
The team values self-directed, pragmatic, curious engineers who are uncompromising about security and software quality.
Tech stack includes TypeScript, React, Node.js, Express, PostgreSQL, Sequelize, Redis, RabbitMQ, Socket.IO, Zod, Nx, Vite, Vitest, Playwright, Sentry, AWS, Kubernetes, Helm, Terraform, Cursor, and Linear. Experience with Python, FastAPI, AI agent runtimes, MCP, enterprise integrations, and direct AWS infrastructure is valuable but not mandatory.
REQUIREMENTS:
- Strong TypeScript fundamentals and production experience with React and Node.js
- Track record of driving complex, customer-facing features end-to-end with visible product impact
- Strong SQL and relational data-modeling skills, including transactions, indexes, and migrations
- Experience with asynchronous or distributed systems: queues, pub/sub, WebSockets, retries, and idempotency
- Sound API, schema, and backward-compatibility judgment
- Strong security instincts for multi-tenant authorization, credentials, uploads, and external input
- Experience with automated unit, integration, API, and end-to-end testing
- Product judgment and comfort operating without heavy specification or process overhead
- High ownership: accountability for reliability and customer outcomes after code ships
- MANDATORY: Hands-on AI Development Lifecycle (ADLC) experience. Must have shipped software using AI across discovery, design, implementation, testing, review, documentation, and production debugging—not only used a coding assistant occasionally. Must know how to validate AI-generated work, define evaluations and regression criteria, manage context, and account for nondeterminism, hallucinations, latency, cost, privacy, and security. Must retain human ownership of architecture, code, and customer outcome. Must be able to design reliable AI execution paths involving prompts, structured outputs, agents, tools, approvals, schemas, authorization, retries, observability, and failure recovery, treating model output as untrusted input with explicit authorization for consequential actions.
