Staff Backend Engineer, Go, Continuous Delivery

🕒 April 8

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GitLab

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Lead technical execution on the CD platform: decompose complex architectural designs into well-scoped, deliverable work and drive the team to ship with quality and confidence. • Solve high-complexity engineering problems and contribute architectural feedback that shapes how the system evolves. • Set and maintain the technical bar across the codebase through code review, mentorship, and example. • Mentor engineers at all levels, helping them grow their technical capabilities and navigate difficult problems. • Represent the CD team in cross-functional engineering discussions and contribute to written technical proposals and architectural documents. • Participate in on-call rotations to help ensure GitLab.com availability targets are met.

🎯 Requirements

• Deep professional experience building backend services in Go, with a track record in high-scale production environments. • Demonstrated expertise in distributed systems design, including durable workflow execution, state persistence, and event-driven architectures. • Extensive experience leading or contributing to release orchestration, deployment automation, or continuous delivery systems at scale. • Extensive hands-on experience with Docker and Kubernetes at production scale, including progressive delivery patterns such as blue/green and canary deployments. • Strong familiarity with GitOps workflows and tools in that ecosystem. • Experience with policy-based governance in software delivery systems. • Proven ability to translate complex architecture into clear, executable engineering work across a team. • Demonstrated ability to incorporate AI tools into daily engineering workflows to drive efficiency and quality. • Exceptional written and verbal communication skills, with a bias toward async, documentation-first practices. • Self-motivated and self-managing, with strong organizational judgment and a constructive approach to ambiguity.

🏖️ Benefits

• 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 • Home office support