Top Engineering Jobs

Design, build, and own core backend infrastructure and microservices that support ML, frontend, and platform teams. Implement distributed config, rate limiting, feature flags, A/B testing, and traffic capture/replay. Improve performance, scalability, and observability of cloud infrastructure; deliver deadline-sensitive, interdependent work and influence the infrastructure roadmap.

Lead design and implementation of high-performance, scalable integrations that ingest identity data from cloud and SaaS providers. Drive architecture and best practices, mentor backend engineers, partner with product and customer teams, and apply AI/ML models to streamline connector development and data modeling for Veza's Access Graph platform.

Design and architect end-to-end ServiceNow solutions focused on Technology Workflows, ITSM/ITOM, automation and user experience. Advise senior stakeholders, drive process improvements, collaborate cross-functionally, and apply industry best practices. Lead technical design, integrations, and adoption of ServiceNow platform capabilities and AI-enhanced workflows.

Design, build, and operate agentic search infrastructure including indexing engines, ingestion/enrichment pipelines, and multi-modal, permission-aware indices. Own index lifecycle, scale hybrid sparse/semantic/vector indices, improve performance and observability, and contribute to entity resolution/knowledge graph capabilities. Collaborate cross-functionally to deliver production-grade, low-latency search for agents and evolve platform roadmaps.

Design, build, and scale Moveworks AI cloud infrastructure and developer platform across regions. Implement CI/CD, infrastructure as code, Kubernetes/Istio deployments, ensure security, reliability, observability, and cost optimization while partnering with platform, ML, data, and security teams.

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.

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.

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.

Serve as a technical advisor driving ServiceNow platform architecture and adoption. Guide customers, partners, and delivery teams on instance strategy, governance, integrations, technical health, and roadmaps. Support sales scoping, mentor others, and contribute leading practices to ensure scalable, long-term solutions.

Build, scale, and operate Moveworks AI cloud infrastructure and developer platform. Design secure, resilient multi-region/cloud systems; create IaC-driven CI/CD pipelines; manage Kubernetes/Istio clusters; collaborate with platform, ML, data, frontend, and security teams to meet performance, observability, and cost objectives.