Principal Database Engineer, Data Engineering

GitLab GitLab · Enterprise · Remote, EMEA; Remote, North America · Data Engineering

GitLab is seeking a Principal Database Engineer to lead the evolution of their PostgreSQL backbone. This role involves designing scalable and resilient database solutions, building proactive health and reliability frameworks, and driving adoption of modern database technologies. The engineer will also own end-to-end observability for database systems and collaborate with product and infrastructure teams to define the next-generation data architecture.

What you'd actually do

  1. Lead the architecture and strategy for GitLab.com's PostgreSQL infrastructure, designing scalable, resilient solutions for both SaaS and self-managed deployments.
  2. Build proactive database health and reliability frameworks using continuous monitoring, automated remediation, and predictive analytics to prevent customer-impacting incidents.
  3. Drive database best practices across engineering by guiding schema design, migrations, and query optimization, and by creating self-service tools and guardrails for product teams.
  4. Own end-to-end observability for database systems, designing symptom-based monitoring, leading incident response, and turning learnings into automated, repeatable workflows.
  5. Shape the evolution of GitLab’s database platform by evaluating and implementing modern database technologies and data stores that improve reliability, performance, and product capabilities.

Skills

Required

  • Experience architecting, operating, and optimizing PostgreSQL in large-scale, distributed production environments with high availability and disaster recovery requirements.
  • Deep knowledge of PostgreSQL internals, including the query planner, write-ahead logging, vacuum processes, and storage engine behavior.
  • Background designing and maintaining highly distributed database platforms with automated failover, robust monitoring, and self-healing capabilities.
  • Hands-on coding skills and comfort working across the stack, from low-level database and search systems to backend and frontend services.
  • Familiarity with infrastructure-as-code, GitOps practices, security hardening, and site reliability engineering principles applied to database operations.
  • Ability to debug complex, cross-system issues, translate findings into durable technical solutions, and turn incident learnings into repeatable automation.
  • Experience influencing technical direction across multiple teams, providing practical guidance on migrations, query optimization, and database best practices.

Nice to have

  • Openness to collaborating with people from diverse technical backgrounds, with a focus on clear communication, shared ownership, and learning transferable skills.

What the JD emphasized

  • critical challenges
  • uncontrolled data growth
  • complex upgrades and migrations
  • always-on reliability at global scale
  • architect scalable, distributed database solutions
  • proactive health and reliability frameworks
  • modern database technologies and data stores
  • next-generation data architecture
  • sharding and multi-database support
  • customer-visible improvements
  • shift incident response from reactive to proactive
  • large-scale, distributed production environments
  • high availability and disaster recovery requirements
  • highly distributed database platforms
  • automated failover
  • robust monitoring
  • self-healing capabilities
  • complex, cross-system issues
  • durable technical solutions
  • repeatable automation