Senior Backend Engineer; Golang), Monitor:Platform Insights

Overview

Remote, APAC

Git Lab is an open-core software company that develops the most comprehensive AI-powered Dev Sec Ops  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. Git Lab 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.

As a Senior Backend Engineer on the Monitor:
Platform Insights team, you’ll help build a unified data event platform that lets Git Lab users query, visualize, and analyze data from across all stages of the Dev Sec Ops  lifecycle. You’ll focus on high-scale, data-rich Golang services and strong database integrations (Postgre

SQL and Click House) to power a consistent dashboard experience, so users can monitor the health of their teams, processes, and services from a single pane of glass. You’ll collaborate closely with Product Management, UX, and other engineering teams to ship secure, well-tested, and performant backend features, and to help other Git Lab teams integrate monitoring and insights into their product areas.

Over your first year, you’ll take ownership of key backend components in this event platform, contribute to improving quality, security, and performance, and play a central role in shaping how customers understand and optimize their workflows within Git Lab.

• Develop backend components and services in Golang that process high-scale, data-rich event streams for the unified Platform Insights experience
• Design and implement database interactions using Postgre
  
  SQL and Click House, focusing on performance, reliability, and observability use cases
• Collaborate with Product Management, UX, and other engineering teams to define, build, and iterate on monitoring and insights features that solve real user problems
• Craft maintainable, well-tested, and secure code that follows team standards, and uphold these standards through thoughtful code reviews
• Integrate data from multiple Git Lab stages into a unified event platform so users can monitor teams, processes, and services in a single dashboard
• Partner with other Git Lab product teams to embed monitoring, dashboards, and insights into their areas of the Git Lab platform
• Monitor system health and performance using tools such as Prometheus and Grafana, and contribute to automation that improves reliability and scalability
• Participate in planning, estimation, and technical discussions as a self-directed contributor, helping to break down and deliver complex backend projects

• Experience building backend services in Golang for high-scale, data-rich applications
• Proficient with relational databases, including Postgre
  
  SQL, and interested in developing deeper expertise with Click House
• Understanding of distributed, scalable, and reliable systems, and how to monitor system health with tools like Prometheus or Grafana
• Ability to work with CI/CD pipelines and modern Dev Ops practices to build, test, and deploy software, ideally using platforms such as Git Lab
• Experience or strong interest in operating applications and managing infrastructure in cloud and containerized environments (e.g., GCP, AWS, Kubernetes or similar)
• Clear, effective communication in written and…