Staff Backend Engineer, Performance Enablement

Posted 7hrs ago

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Job Description

Staff Backend Engineer building GitLab’s self-serve performance platform for DevSecOps teams. Enabling performance testing, analysis, trend visibility, and AI-assisted engineering workflows.

Responsibilities:

Define the team's technical vision and multi-quarter roadmap with the Engineering Manager
Identify opportunities for impact across R&D and advocate for technical priorities with stakeholders
Design and build reusable platform capabilities for performance testing, analysis, reporting, and trend visibility
Solve complex technical problems and ship large capabilities with minimal guidance
Turn lessons from early team engagements into reusable capabilities, documentation, and onboarding
Coordinate with peer teams across Developer Experience, Infrastructure Platforms, and product groups
Lead AI-first development practices, including AI skills and agent-assisted performance workflows
Mentor engineers in performance engineering, platform design, and technical decision-making
Serve as a performance expert and provide technical guidance across multiple groups
Participate in on-call or operational support where required

Requirements:

Staff-level backend or platform engineering experience, including setting technical direction across a team and the teams around it
A track record of building and operating performance testing and analysis systems, with an understanding of where bottlenecks appear and how to find them
Experience leading or anchoring a performance enablement or platform function and achieving measurable adoption of internal tooling by influencing engineers and leaders who don't report to you
Experience defining and delivering a multi-quarter technical strategy or roadmap with engineering leadership
An AI-first development mindset demonstrated across the software lifecycle, including shaping how a team uses AI
Hands-on experience with load and performance testing tools such as k6 or equivalent, Kubernetes, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure
Clear written, asynchronous communication, including explaining performance trade-offs to engineers and leadership
All team members expected to incorporate AI into their daily workflows