Top Engineering Jobs

Define and maintain ServiceNow platform vision, standards, and governance. Provide architectural guidance, shape instance/integration/data governance, mitigate scalability/performance risks, influence executive stakeholders, and drive adoption of best practices across teams. Travel up to 50% may be required.

Lead platform strategy and governance for ServiceNow at enterprise scale. Define standards, guide architecture and integrations, run governance forums, mitigate scalability and technical debt risks, and advise executives and product teams to ensure consistent, sustainable platform adoption.

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 production database troubleshooting and root-cause analysis for large-scale, multi-tenant PostgreSQL/MariaDB fleets. Develop observability tooling and automation, diagnose Linux (RedHat) performance at OS level, influence infrastructure decisions, mentor engineers, and participate in on-call rotations to ensure service stability.

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 design, develop, and operate containerized Java and Python microservices on Kubernetes/OpenShift. Build scalable APIs, asynchronous and event-driven systems, integrate frontier AI SDKs, ensure reliability and observability, and provide technical leadership through architecture and code reviews while partnering with product, research, security, and infrastructure teams.

Lead Veza's platform organization owning the Access Graph, integrations, and data pipelines. Set technical vision for distributed, cloud-native, graph and data platforms. Drive architecture, partner with Product, Security, SRE and ServiceNow, manage multi-team roadmaps, and hire/mentor engineering managers and senior engineers to deliver enterprise-grade scalability, reliability, and observability.

Owner of production database stability and incident response for large-scale multi-tenant PostgreSQL/MariaDB fleets. Troubleshoot DB and Linux internals, perform root cause analysis, build observability and automation, influence infrastructure decisions, and mentor cross-functional teams. Participate in on-call rotations and support both on-prem and cloud deployments.

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.

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.