
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.
🕒 September 18
🇺🇸 United States – Remote
💵 $156.8k - $235.2k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 0%
Where this job comes from
Posted on GitLab's careers page, not through a job board
First seen by Remote Rocketship September 18
Still open on GitLab's site. Checked 7 hours ago.

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.
• Build and evolve reusable backend platforms and tooling for performance testing and analysis • Create self-service workflows, documentation, templates, diagnostics, and artificial intelligence skills that reduce the need for bespoke support • Use development practices that apply artificial intelligence to accelerate implementation, testing, debugging, and technical documentation • Influence engineering teams to make performance testing part of normal development and release preparation • Turn early hands-on engagements into generalized capabilities that many teams can adopt independently • Provide technical expertise for difficult performance questions, tooling enhancements, and new platform capabilities • Enable modular feature teams, including Orbit and Artifact Registry, to run performance testing through their own development and continuous integration workflows • Improve performance results, reporting, and trend visibility so teams can make informed decisions from their own evidence • Establish documentation, templates, and guidance needed to expand self-service adoption across research and development
• Experience building backend or platform software • Experience building internal platforms or developer-facing tooling • Experience partnering with development teams to improve their day-to-day workflows • Experience using development practices that apply artificial intelligence across the software lifecycle • Experience with software performance, such as performance analysis, optimization, benchmarking, or leading performance-related improvements • Practical experience with Kubernetes, k6, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure • Experience building durable solutions that support broad adoption using systems thinking • Communicate clearly in writing and influence teams without direct authority
• 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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