远程工作雷达

高级后端工程师,分析工具(Golang)

Senior Backend Engineer, Analytics Instrumentation (Golang)

开发工程限定地区(需当地身份)
公司GitLab
薪资未公开
工作地点Remote, Canada; Remote, US
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-03-12
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote, Canada; Remote, US 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

GitLab 是 DevSecOps 的智能编排平台。GitLab 帮助组织提高开发者生产力,提升运营效率,降低安全和合规风险,并加速数字化转型。超过 5000 万注册用户,以及超过 50% 的财富 100 强企业* 信任 GitLab 来更快地交付更优质、更安全的软件。

我们产品中所体现的原则也体现在团队的工作方式中:我们把 AI 作为核心的生产力倍增器,所有团队成员都被期望将 AI 融入日常工作中,以推动效率、创新和影响力。GitLab 是职业加速的地方,创新蓬勃发展,每个声音都受到重视。我们的高绩效文化由价值观和持续的知识共享驱动,使团队成员能够在与行业领袖合作解决复杂问题的过程中充分发挥潜力。与我们一同共创未来,构建改变世界开发软件方式的技术。

*Fortune 500® 是 Fortune Media IP Limited 的注册商标,经许可使用。声明基于 GitLab 数据。财富 100 强指的是 2025 年 6 月发布的 2025 年财富 500 强榜单中排名前 20% 的公司。财富和 Fortune Media IP Limited 与 GitLab 没有隶属关系,也不认可 GitLab 的产品或服务。

职位概览

Analytics Instrumentation 是数据工程与变现(DE&M)团队的一部分,专注于 GitLab 内的产品使用和计费事件数据的收集。我们构建数据收集平台,使产品团队能够通过隐私友好的仪器设备评估用户行为,并在整个用户生命周期中捕捉产品使用情况,从而做出基于证据的决策。

作为一名高级后端工程师,你将指导统一数据基础设施平台的设计和开发,该平台整合 GitLab 工程组织中的分析仪器设备。你将构建和维护后端系统,使公司能够了解 GitLab SaaS 和自托管部署环境中的客户使用模式。这些数据直接指导战略产品优先级和策略。这个职位提供了参与基础架构工作的机会,简化 GitLab 团队的仪器设备,用一个统一的解决方案取代多种语言特定的软件开发工具包,使团队可以依赖它。

你将负责

  • 指导
查看英文原文

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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