Top Engineering Jobs in San Francisco, CA

Build and operate production CX applications, agentic workflows, MCP servers, enterprise integrations, and AWS infrastructure. Develop secure Python and TypeScript applications, maintain the agent harness, implement testing and observability, and support CI/CD. Partner with Customer Experience teams to prototype and productionize solutions, document architecture and handoffs, mentor others, and contribute to GitLab's engineering and AI development practices.

Designs and evolves high-scale backend capabilities for GitLab’s Container Registry, making architectural decisions across modular monoliths, shared components, and services. The role emphasizes reliability, performance, security, testing, operational readiness, incident response, technical leadership, mentoring, and asynchronous collaboration. The engineer will also build or operate reliable agentic AI systems and guide responsible AI adoption in production engineering workflows.

Provides overnight technical support for GitLab deployments serving U.S. government and public-sector customers in secure, air-gapped, and regulated environments. Investigates Linux systems, logs, performance, application behavior, and code paths; resolves issues, documents solutions, builds troubleshooting tools, and partners with Product, Engineering, and Infrastructure teams. The role includes on-call support, customer communication, process improvement, technical documentation, code contributions, and participation in hiring activities.

Lead the architecture and delivery of GitLab’s Data Products platform, including near-real-time data ingestion, knowledge graphs, external integrations, data marketplaces, observability, and data-sharing APIs. Translate ambiguous 0-to-1 initiatives into roadmaps, resolve cross-team dependencies, ensure operational readiness across deployment environments, mentor engineers, and improve organizational execution velocity.

Provides company-wide technical leadership for GitLab’s Core DevOps services, including CI, CD, planning, and source control. Establishes architecture, quality metrics, migration strategies, and technical roadmaps for scalable multi-tenant systems. Leads complex design decisions, AI adoption, risk reduction, observability, and cross-functional alignment while mentoring senior engineers and supporting technical hiring and incident response.

Provides technical leadership for cross-team backend initiatives, modernizes monolithic and legacy systems, establishes architecture and engineering standards, and guides Go, Kubernetes, Rust, reliability, security, observability, and AI-assisted development practices. The role includes architectural decision-making, incident response, mentoring, technical debt reduction, and partnership with Product and Engineering leadership in a fully remote environment.

Build backend platforms and reusable tooling that enable engineering teams to independently perform performance testing, analysis, benchmarking, and optimization. Develop self-service workflows, documentation, templates, diagnostics, reporting, and AI-assisted engineering capabilities. Partner with development teams to integrate performance testing into development and release processes, generalize solutions for broad adoption, and provide expertise on complex performance challenges.

Build and operate Go-based automation for PostgreSQL provisioning, configuration, upgrades, failover, scaling, and decommissioning at GitLab scale. Develop PostgreSQL-as-a-service capabilities across cloud infrastructure, Kubernetes or comparable automation platforms, and infrastructure-as-code tooling. Improve database performance, reliability, and scalability; operate production services; review code; document practices; and provide technical leadership, mentorship, and cross-team influence.

Site Reliability Engineers maintain reliable, scalable GitLab production services and infrastructure. Responsibilities include building automation and infrastructure-as-code tooling, operating Kubernetes systems, managing CI/CD and GitOps deployments, participating in on-call and incident response, improving observability and SLOs, troubleshooting production issues, and documenting operational practices. The role is remote within the United Kingdom and may be calibrated from Intermediate through Senior Staff based on experience and interview performance.

Lead customer migrations from self-managed GitLab to GitLab Dedicated, using GitLab Geo, Kubernetes, cloud platforms, networking, Terraform, and Ansible. Own migration planning, replication, cutover, validation, troubleshooting, and customer communication. Develop repeatable automation, tooling, and runbooks while coordinating with Professional Services, Product, and Engineering teams. Manage multiple engagements remotely and share technical insights to improve delivery.