Senior CX Platform Engineer

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As a Senior CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI). You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership. This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery.

What you'll do

• Use Claude Code, GitLab Duo, and other coding agents as your primary development environment for planning, implementation, refactoring, testing, reviews, and documentation. Run multiple agents in parallel on well-scoped tasks, critically review their output, and own every line that reaches production.
• Build and maintain the team's agent harness, including shared AGENTS.md conventions, skills, slash commands, hooks, subagent definitions, and continuous integration checks. Measure and share what works, publish reusable patterns, and retire those that don't.
• Ship agents and multi-step workflows for account research, success planning, scoping, status reporting, and customer onboarding. Package them as skills and plugins for non-engineers using Claude, Claude in Slack, and GitLab Duo Agent Platform.
• Build MCP servers