GitLab Inc.
Intermediate Fullstack Engineer (Ruby/Vue.js), Analytics Instrumentation Remote,
GitLab Inc., Jackson, Mississippi, United States
Remote, EMEA; Remote, Europe; Remote, Netherlands; Remote, United Kingdom
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.
Responsibilities
Develop and maintain Internal Events instrumentation framework and tooling
Create developer-friendly tooling, APIs & documentation for product teams to instrument their features
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 public cloud platforms like AWS, GCP or Azure
Experience with Infrastructure as Code tools like Terraform, Pulumi or equivalent
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.
Remote-Global
Equal Opportunity GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. Our policies and practices relating to recruitment, employment, career development and advancement are based solely on merit, regardless of race, color, religion, sex, national origin, disability, or any other basis protected by law. See also GitLab’s EEO Policy.
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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.
Responsibilities
Develop and maintain Internal Events instrumentation framework and tooling
Create developer-friendly tooling, APIs & documentation for product teams to instrument their features
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 public cloud platforms like AWS, GCP or Azure
Experience with Infrastructure as Code tools like Terraform, Pulumi or equivalent
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.
Remote-Global
Equal Opportunity GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. Our policies and practices relating to recruitment, employment, career development and advancement are based solely on merit, regardless of race, color, religion, sex, national origin, disability, or any other basis protected by law. See also GitLab’s EEO Policy.
#J-18808-Ljbffr