Top Engineering Jobs

Design, build, and scale the Veza Access Graph backend: develop graph features, improve performance, reliability, and APIs, collaborate cross-functionally, and implement monitoring, logging, and compliance capabilities for identity and access management at scale.

Lead technical integrations for core infrastructure: assess environments, create integration roadmaps, and implement networking, cloud hosting/SRE, IAM, collaboration migrations, security controls, and operational resilience while aligning teams and enterprise architecture.

One-day, in-person career exploration for early-career students curious about software engineering at ServiceNow. Includes executive keynote, sessions on SWE functions and career paths, networking with recruiters and leaders, and provided meals. Not a job interview or employment offer.

Advise customers on ServiceNow platform architecture and governance, design integration and instance strategies, reduce technical debt, translate business goals into architectural roadmaps, and support sales scoping and delivery across large programs.

Lead performance, scalability, and reliability efforts across the platform: define benchmarks and SLAs, run load/stress tests, optimize services/databases, build observability, drive architecture decisions, lead RCA, and mentor engineers.

Own production database troubleshooting and RCA for multi-tenant PostgreSQL/MariaDB fleets, analyze Linux and cloud performance, build observability and automation, influence infrastructure decisions, and mentor cross-functional engineers while participating in on-call rotation.

Build and own runtime infrastructure for agentic AI: orchestration engine for long-running sessions, distributed session management, event-driven pipelines, asyncio-based concurrency, observability with OpenTelemetry, caching with Redis/DynamoDB, and real-time streaming via gRPC and Socket.IO.

Architect and build AI-native, large-scale distributed systems for ITSM/ITOM products. Lead technical strategy, prototype and validate architectures, drive evidence-based experiments, establish patterns and best practices, mentor senior engineers, and collaborate across teams to deliver reliable, observable, and cost-effective agentic automation and operational intelligence.

Build and own distributed runtime infrastructure for agentic AI: session orchestration, lease-based distributed session management, event-driven pipelines, structured concurrency, observability, caching and state layers to support low-latency, correct, long-running agent workflows at scale.

Build and evolve Moveworks core conversational AI platform by designing and implementing reliable, performant, and secure backend platform building blocks and enterprise data platforms. Partner with product, ML, UX, and cross-functional engineering teams to deliver scalable microservices, APIs, and cross-cutting solutions, participate in design/code reviews, influence roadmap, and drive continuous improvement.