Senior Backend Engineer, Ruby at GitLab

About the role

Senior Ruby backend engineer building GitLab’s DevSecOps portfolio planning platform. Designing scalable APIs, optimizing PostgreSQL, and evolving work-item hierarchy and capacity planning.

Collaborate with product and other engineers to shape requirements, understand user needs, and break complex projects into shippable iterations.
Design and implement backend and real-time features in the GitLab monolith, including GraphQL and RESTful APIs and subscriptions, with a focus on performance, reliability, and user impact.
Build and evolve portfolio planning capabilities, including work item hierarchy, status rollup, and capacity planning.
Improve PostgreSQL performance at scale through query and write optimization, indexing, denormalization, partitioning, and moving suitable workloads to Elasticsearch or ClickHouse.
Create proofs of concept for complex work, maintain extensive automated test coverage, and support safe rollouts with feature flags and strong observability.
Mentor engineers and open source contributors through code reviews, pairing, regular feedback, contributor issues, and hackathons.
Participate in on-call rotations, troubleshoot production issues, contribute to root cause analysis, and improve the team's development and review processes.

Experience representing the user perspective while working through trade-offs with product managers, engineers, and users.
Experience leading projects involving several engineers over multiple months and supporting others through thoughtful code reviews, feedback, hiring, career development, and mentoring.
Full stack experience with a current backend focus.
Proficiency with Ruby and Ruby on Rails.
Understanding of how complex modern frontends work.
Strong PostgreSQL skills and experience improving database performance at scale through query and write optimization, indexing, denormalization, and partitioning.
Experience designing and evolving GraphQL and/or RESTful APIs with attention to scalability, backward compatibility, and clear contracts with frontend clients.
Experience improving large automated test suites, including the performance and reliability of the tests themselves.
Strong written and verbal communication skills for an asynchronous, distributed environment.
Experience integrating artificial intelligence into development workflows.
Experience building artificial intelligence-powered features or working with Elasticsearch, ClickHouse, or Python is a plus.