
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.
🕒 July 7
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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.
• Guide the design, implementation, and evolution of a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams. • Improve the emission, transit, and quality of instrumentation data across the system, with success measured by data quality, data integrity, and usage billing accuracy. • Provide technical guidance for usage billing and instrumentation systems during working hours, with success measured by timely incident handling, effective root cause analysis, and reliable service restoration. • Work across the organization with research and development teams and the enterprise data organization to deliver common solutions, with success measured by adoption across multiple stakeholders. • Make technical choices that balance ease of use for product teams with reliability and correctness for data consumers, with success measured by platform usability and reliable downstream data. • Mentor other engineers through code reviews, design discussions, and clear technical documentation, with success measured by stronger code quality, faster technical alignment, and more maintainable systems.
• Significant experience working with platform or infrastructure systems in production environments. • Strong proficiency in the Go programming language, with experience building and maintaining production services. • Strong backend development experience, with the ability to design and deliver scalable, reliable systems serving internal and external customers. • Experience guiding technical design and making tradeoffs across system reliability, performance at scale, data quality, and observability. • Experience working across team boundaries with product teams, data consumers, and other internal stakeholders. • Familiarity with cloud native technologies and open source development practices. • A track record of mentoring other engineers and helping teams make clear, well-documented technical choices.
• 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🕒 July 3
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