
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-11
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.
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1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-11
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.
• Build tooling and workflows for cloud-native and self-managed deployment environments. • Contribute to Cloud Native deployment guidance, including component requirements, architecture patterns, topology guidance, and scaling principles. • Improve ephemeral environments that bring validation closer to production reality. • Work across application, infrastructure, and platform boundaries to keep deployment artifacts and environment contracts consistent from development through production. • Partner with related teams on packaging, testing, delivery workflows, and customer-facing deployment guidance.
• Strong backend engineering experience, ideally with Kubernetes-based systems, distributed applications, or platform engineering • Experience with deployment architecture, environment management, or cloud-native operations • Comfort working at the boundary of developer workflows and production infrastructure • Good systems thinking around service dependencies, deployment patterns, and infrastructure abstraction. • A collaborative, pragmatic approach to building durable platform capabilities
• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave
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