
1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
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.
🕒 June 25
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1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
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.
• Maintain and evolve the Omnibus GitLab package to support reliable, production-ready self-managed deployments, improving deployment stability, increasing upgrade success rates, and reducing escalation rates. • Develop and improve GitLab Helm Charts so core components integrate cleanly and scale across supported environments, reducing deployment friction, shortening time to deploy, and improving operational consistency at scale. • Enhance the GitLab Environment Toolkit (Get), validated reference architectures, and the GitLab Operator for secure, Kubernetes-native lifecycle management, improving reliability, strengthening security baselines, and accelerating adoption in customer environments. • Improve installation, upgrade, and operational workflows across deployment methods to create a consistent experience for self-managed customers, reducing operational overhead, lowering failure rates, and increasing consistency across deployment methods. • Partner with Security to address vulnerabilities and deliver secure defaults and configurations in the deployment stack, reducing exposure to vulnerabilities and improving baseline security across self-managed deployments. • Build and maintain automation and continuous integration and continuous delivery pipelines that validate and test Omnibus, Charts, Get, and the Operator, increasing release confidence, improving test coverage, and reducing regressions across deployment tooling. • Work closely with Distribution Engineers, Site Reliability Engineers, Release Managers, and Development teams to integrate new features into deployment methods and keep them reliable, scalable, and aligned with customer needs, improving delivery readiness and reducing operational issues after release. • Guide architectural direction, mentor backend engineers, and contribute to the roadmap for self-managed delivery, improving technical quality, accelerating delivery effectiveness, and strengthening team execution.
• Experience operating backend services in production, including deployment, monitoring, and maintenance in Kubernetes- and Helm-based environments. • Proficiency in Go for building observable and resilient services, with working knowledge of Ruby as a useful addition. • Hands-on practice with infrastructure as code, including tools such as Terraform, and with managing infrastructure across cloud providers such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure. • Knowledge of database design, operations, and troubleshooting, especially for PostgreSQL in secure and scalable setups. • Knowledge of secure, scalable, and reliable deployment practices, including service scaling and rollout strategies. • Familiarity with observability tools and patterns such as Prometheus and Grafana to monitor system health and performance. • Ability to work effectively in large codebases and coordinate across distributed, cross-functional teams using clear written communication. • Openness to transferable experience from related backend or infrastructure roles, along with the ability to write user-focused documentation and implementation guides.
• 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
Apply Now🕒 June 25
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