
Artificial Intelligence • Enterprise • SaaS
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-11
August 14

Artificial Intelligence • Enterprise • SaaS
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-11
• 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 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. • What You’ll Do: • 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.
• 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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