Senior Backend Engineer (Ruby), Monitor: Platform Insights

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.

An overview of this role 

The Platform Insights Team vision will deliver a unified data event platform that allows users to query, visualize, and analyze their data in order to optimize their workflows within GitLab. We aim to create a consistent dashboard experience that makes it easy for users to ask the questions pertinent to their use cases and build rich team/use case specific views. The unified event platform will consume data from all stages so that users can monitor the health of their team, their processes, and their services all in a single pane of glass.

We are looking for a Senior Backend Engineer with a strong background in high-scale and data-rich Ruby on Rails applications, as well as familiarity with distributed, scalable and reliable systems.

• Lead the development of Ruby on Rails Backend components leveraging high-scale data pipelines
• Collaborate with Product Management and other stakeholders within Engineering (e.g. UX) to maintain a high bar for quality in a fast-paced, iterative environment
• Craft code that meets standards for style, maintainability, and best practices for a high-scale web environment. Maintain and advocate for these standards through code review.
• Working with other GitLab teams to help them integrate monitoring and insights features into their product areas
• Develop features and improvements to the GitLab product in a secure, well-tested, and performant way.
• Ship features and improvements independently with minimal guidance and support from other team members. Lead and mentor team members on larger projects.
• Advocate for improvements to product quality, security, and performance across the organization.
• Solve technical problems of high scope and complexity and provide technical leadership.
• Mentor junior and mid-level engineers on the team.

What You'll Bring

• Significant professional experience with Ruby on Rails and PostgreSQL.
• Strong database experience and demonstrated expertise in ClickHouse databases or similar analytical databases
• Proven experience working with a platform or complex applications at large scale.
• Expert-level familiarity building and deploying software with CI/CD or other internal tooling.
• Deep understanding of distributed, scalable and reliable systems.
• Advanced user of modern DevOps platforms. (GitLab is a bonus.)
• Excellent proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment.
• Advanced experience monitoring system health with tools like Prometheus or Grafana.
• Proven track record analyzing metrics, developing automation scripts, scaling systems.
• Experience with Golang or demonstrated ability to quickly learn new languages
• Solid GCP and/or AWS experience
• Hands-on experience managing cloud infrastructure and ensuring efficient deployments.
• Production experience operating a managed Kubernetes cluster (ex. GKE or EKS)
• Leadership experience mentoring other engineers and driving technical decisions

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