Principal Engineer (Go), Analytics

GitLab is an open core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating the rate of human progress. This mission is integral to our culture, influencing how we hire, build products, and lead our industry. We make this possible at GitLab by running our operations on our product and staying aligned with our values. Learn more about Life at GitLab. An overview of this role The Principal Engineer, Analytics provides technical leadership for the engineering teams across the Analytics stage, working closely as a key member of the leadership team in collaboration with counterparts across the organization. Some examples of our projects: Contribute to the overall direction of the Analytics stage and company-wide reporting and analytics initiatives by collaborating and making proposals across several teams on their engineering work, and helping their team members make informed decisions in alignment with strategic plans. Teach, mentor, grow, and provide advice to other domain experts and individual contributors across several teams. Advise on resourcing requirements and provide feedback on promotions into technical leadership roles. Plan improvements and features with a 12-month view and ensure that OKR-level goals are aligned across the stage. Solve technical problems of the highest scope, complexity, and ambiguity while looking for innovation opportunities between several teams and demonstrating a willingness to experiment and to boldly confront problems of large complexity and scope. Interface with Engineering Managers and Senior Management, and enable Staff Engineers to engage on stage-level aspects of larger (sub-department wide) initiatives. Provide a point of escalation for sub-department teams facing complex technical challenges. Propose initial technical implementations which support architectural changes that solve scaling and performance problems. Interact with customers and other external stakeholders as a consultant and spokesperson for the work of your sub-department. Identify slow and inefficient code across multiple products. Examples of initiatives you will work on Key member of the team providing architectural leadership for initiatives within and outside the Analytics stage including event-driven architecture, data platform development, reporting and analytics, and AI-powered insight development. Performance optimization - database decomposition, technical debt initiatives, scaling of features (moving features from the project to group to instance level) to support SaaS and self-managed customers. Improved instrumentation and metrics to inform feature development and support results for customers. Cross-stage alignment of technical direction within Analytics and across all the stages in the DevSecOps lifecycle. What you’ll bring Significant professional experience as a Principal Engineer, or relevant hands-on management and leadership experience, across multiple development teams. Significant professional experience with Go. Significant experience with Ruby on Rails, Postgres, ClickHouse, NATS/Kafka are also a plus. Extensive experience building high-throughput, real-time distributed systems that perform reliably and at scale. Expert knowledge and experience in CI/CD using DevSecOps best practices and a strong interest working across analytics and insights development. Experience developing solutions that can scale from resource-constrained on-premise applications, to mission-critical SaaS platforms with tens of millions of users. Demonstrated capacity to clearly and concisely communicate complex problems and solutions. Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems. Comfort working in a highly agile, intensely iterative software development process. Experience owning a project from concept to production, including proposal, discussion, and execution. About the team The Analytics stage engineering teams work to support the Analytics stage direction to continue to extend DevOps across its most painful gap - measuring user value. The Analytics Section closes the DevOps loop. It is not enough to deploy an app and hope for the best. It is critical to understand and explore the data and signals that GitLab provides to make the best, insight-based decisions. We will do this by providing a comprehensive solution to gather and interact with data for both our customers and internal teams. 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. Remote-Global 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. 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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