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.
You'll support work such as
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
What you’ll do
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.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience building backend or platform software.
Experience building internal platforms or developer-facing tooling.
Experience partnering with development teams to improve their day-to-day workflows.
Experience using development practices that apply artificial intelligence across the software lifecycle.
Experience with software performance, such as performance analysis, optimization, benchmarking, or leading performance-related improvements.
Practical experience with Kubernetes, k6, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure.
Experience building durable solutions that support broad adoption using systems thinking.
Communicate clearly in writing and influence teams without direct authority.
About the team
Performance Enablement is part of Platform Enablement within Developer Experience and Infrastructure Platforms. We help GitLab teams make performance part of the software lifecycle.
Our goal is to make performance a shared responsibility of service-owning teams while providing a strong platform and center of expertise when teams need help. We work asynchronously, collaborate broadly across research and development, and focus on building capabilities that scale beyond individual team engagements.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$156,800—$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
