Senior Backend Engineer, Platform Enablement

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

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An overview of this role

As a Senior Backend Engineer, Performance Enablement, you'll make performance testing and analysis easier for engineering teams to adopt and own. You'll build platforms, tooling, guidance, and artificial intelligence-assisted workflows that help teams identify performance risks during development and before they roll changes out to production.

We're moving from a hands-on consulting model to a self-service model. Service teams own their performance tests, analysis, thresholds, and evidence. We provide the paved road, documentation, skills, and expert support for challenging problems and new capabilities.

This is a backend and platform engineering role with room to grow in scope and influence. You'll help shape how Performance Enablement supports engineering teams, using artificial intelligence thoughtfully to accelerate design, implementation, testing, debugging, documentation, and automation.

• Enabling modular feature teams, including Orbit and Artifact Registry, to run performance testing through their own development and continuous integration workflows

• Building reusable performance tooling, including component-level testing, load testing, performance analysis, and artificial intelligence-assisted engineering skills

• Improving performance results, reporting, and trend visibility so teams can make informed decisions from their own evidence

• Establishing the documentation, templates, and guidance needed to expand self-service adoption across research and development

• Build and evolve reusable backend platforms and tooling for performance testing and analysis.

• Create self-service workflows, documentation, templates, diagnostics, and artificial intelligence skills that reduce the need for bespoke support.

• Use development practices that apply artificial intelligence to accelerate implementation, testing, debugging, and technical documentation.

• Influence engineering teams to make performance testing part of normal development and release preparation.

• Turn early hands-on engagements into generalized capabilities that many teams can adopt independently.

• Provide technical expertise for difficult performance questions, tooling enhancements, and new platform capabilities.

What you’ll