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at GitLab • Remote, Canada; Remote, US
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Senior Backend Engineer, Analytics Instrumentation (Golang)
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.
* Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Analytics Instrumentation is part of the Data Engineering and Monetization (DE&M) group, focused on the collection of Product Usage and Billing event data within GitLab. We build data collection platforms that enable product teams to assess user behavior and make evidence-based choices through privacy-conscious instrumentation that captures product usage throughout the user lifecycle.
As a Senior Backend Engineer, you'll guide the design and development of a unified data infrastructure platform that consolidates analytics instrumentation across GitLab's engineering organization. You'll build and maintain backend systems that give the company visibility into customer usage patterns across GitLab SaaS and Self-Managed deployment environments.
That data directly informs strategic product priorities and strategies. This role offers the opportunity to work on foundational infrastructure that simplifies instrumentation for teams at GitLab, replacing the complexity of multiple language-specific software development kits with a single, unified solution that teams can rely on.
What you’ll do
Guide the design, implementation, and evolution of a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams.
Improve the emission, transit, and quality of instrumentation data across the system, with success measured by data quality, data integrity, and usage billing accuracy.
Provide technical guidance for usage billing and instrumentation systems during working hours, with success measured by timely incident handling, effective root cause analysis, and reliable service restoration.
Work across the organization with research and development teams and the enterprise data organization to deliver common solutions, with success measured by adoption across multiple stakeholders.
Make technical choices that balance ease of use for product teams with reliability and correctness for data consumers, with success measured by platform usability and reliable downstream data.
Mentor other engineers through code reviews, design discussions, and clear technical documentation, with success measured by stronger code quality, faster technical alignment, and more maintainable systems.
What you’ll bring
Significant experience working with platform or infrastructure systems in production environments.
Strong proficiency in the Go programming language, with experience building and maintaining production services.
Strong backend development experience, with the ability to design and deliver scalable, reliable systems serving internal and external customers.
Experience guiding technical design and making tradeoffs across system reliability, performance at scale, data quality, and observability.
Experience working across team boundaries with product teams, data consumers, and other internal stakeholders.
Familiarity with cloud native technologies and open source development practices.
A track record of mentoring other engineers and helping teams make clear, well-documented technical choices.
About the team
The Analytics Instrumentation team operates at the intersection of Product, Analytics, and customer-facing teams, providing data collection infrastructure that serves engineering teams across GitLab. We're a distributed team of generalist engineers who tackle complex problems spanning the GitLab codebase, JavaScript, Go, and Python satellite services, data pipelines, and AI tool integration.
We collaborate transparently across teams, deliver measurable results through efficient iteration, and build inclusive solutions that respect user privacy. Our work enables data-informed choices and planning across the organization. We're involved in diverse projects from event data collection and privacy compliance tools to AI-powered analytics frameworks that help GitLab teams learn more about their users.
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 $117,600 — $252,000 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 .
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