Top Engineering Jobs

Lead architecture and implementation of GitLab's in-product insights and Data Marketplace. Design and coordinate ingestion, modeling, and synchronization into the Knowledge Graph; integrate external systems; publish observability data; define operational readiness; translate ambiguous product problems into technical plans; resolve cross-team dependencies; and mentor other engineers.

Lead customer-facing Professional Services engagements to install, migrate, train, and advise on GitLab deployments. Design and deliver reference architectures using IaC/Configuration-as-Code across major cloud providers, guide migrations to SaaS or self-managed GitLab, mentor junior engineers, coordinate with product and engineering teams, and manage multiple projects to improve reliability, security, and customer workflows.

Operate at Staff-level to diagnose and resolve complex customer issues, contribute production-quality code to GitLab, drive AI adoption (Duo Agent Platform), and translate field learnings into durable product improvements, guidance, and thought leadership while coordinating cross-functional teams.

Design and build tooling, workflows, and guidance to make GitLab easier to deploy, validate, and operate across cloud-native, self-managed, and ephemeral environments. Shape deployment architecture, topology, scaling principles, and platform contracts while collaborating with application, infrastructure, and delivery teams.

Build and maintain agentic workflow components and the platform requirements knowledge base to ensure features ship across GitLabs deployment targets. Implement integration surfaces (issues, MRs, design docs, CI/CD), collaborate with platform teams to translate expertise into structured requirements, and write tests, documentation, and evaluations for agentic-workflow behavior and assessment accuracy.

Lead the SSCS Add-On engineering team to develop security capabilities, managing delivery, team growth, and quality in a collaborative environment.

Design and build a unified analytics instrumentation platform using Go, Kubernetes, ClickHouse, and NATS. Improve data emission, transit, and quality for usage and billing, provide incident response and root cause analysis, collaborate with product and data teams to drive adoption, make tradeoffs for reliability and performance, and mentor engineers through reviews and documentation.

Lead design and delivery of multi-cloud cell placement and orchestration systems; build and grow the cell infrastructure engineering team; own reliability, on-call, incident response, and cost-visibility; partner with platform, CI/CD, and agent teams; define cross-cloud routing, data residency, and developer tooling to enable teams to deploy on cell infrastructure.