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 human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.
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.
The Analytics Instrumentation Group is part of the Analytics section, focused on providing GitLab's teams with data-driven product insights to build a better GitLab. We build data collection and analytics tools within the GitLab product in a privacy-focused manner, enabling teams to understand how users interact with features and make evidence-based decisions.
As our new Intermediate Full Stack Engineer, you will help us build intuitive instrumentation tools that capture product usage data throughout the product lifecycle. You'll work on the Internal Events platform, creating the frameworks that allow product teams across GitLab to instrument their features and derive actionable insights.
The Analytics Instrumentation team collaborates closely with Product, Engineering, Customer Success, and Data teams, building solutions that support customer-focused innovation by providing visibility into feature usage patterns and helping identify opportunities for improvement.
Check out our product direction page here
What You’ll Do
- Develop and maintain Internal Events instrumentation framework and tooling
- Create developer-friendly tooling, APIs & documentation for product teams to instrument their features
- Maintain and improve the Metrics Dictionary and Version App
- Work on both frontend and backend components of analytics instrumentation tools
- Collaborate with product teams through code reviews to help implement instrumentation
- Monitor system health through Monte Carlo alerts and Tableau dashboards
- Contribute to privacy-focused data collection practices and compliance tools
What You’ll Bring
- Experience in Backend development using Ruby and Rails
- Experience in Frontend Development using JavaScript & frameworks like React or Vue.js
- Experience in public cloud platforms like AWS, GCP or Azure.
- Experience with Infrastructure as Code tools like Terraform, Pulumi or equivalent.
- Experience in data engineering tools like Snowflake, Clickhouse, dbt, Airflow, Atlan etc.
- Excellent proficiency in the English language, both written and verbal, sufficient for success in a remote, globally distributed, asynchronous work environment.
- Exposure to product analytics tools like Mixpanel, Segment, Posthog etc is considered a plus.
- Prior experience of being a part of DevOps and SRE teams is considered a plus.
About the team
The Analytics Instrumentation Group works at the intersection of product development and data analytics. We're a distributed team of backend engineers, frontend engineers, and product managers who are passionate about making data accessible and actionable across GitLab.
We believe in continuous improvement, bias for action, and making data-driven decisions. We practice GitLab's values of collaboration, transparency, and iteration in everything we do.
We're involved in diverse projects including event data collection, privacy compliance tools, and cross-functional initiatives that help GitLab teams understand their users better.
