• Collaborate with Engineering, Product, and UX partners to refine priorities: where we can move faster, where we’re missing data, and where there’s whitespace to innovate. • Contribute to defining what success looks like across our AI agents, ensuring we’re not just shipping, but learning from how features perform in production. • Keep a close eye on the competitive landscape and emerging AI-native DevOps tools, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world. • Design, build, and operate backend features that make GitLab CI fast, reliable, and easy to use at scale. • Implement AI-powered and agentic CI capabilities that integrate with GitLab’s Duo Agent Platform. • Instrument, monitor, and improve CI systems using data, observability, and safe rollout practices. • Write secure, well-tested Ruby on Rails code in our monolith, improving existing features while reducing technical debt. • Collaborate cross-functionally with Product, UX, and Infrastructure, mentoring others and raising engineering standards across the Verify stage.

• Work on the continuous evolution of applications, ensuring stability, performance, and reliability.

• Be part of a skilled, results-oriented development team • Develop the new platform for one of our major clients • Work with development best practices in a dynamic environment • Analyze and resolve issues related to the client’s system

• Develop new features and evolve existing systems with a focus on quality, scalability, and maintainability. • Have strong knowledge of software architecture and the ability to propose structural improvements to the system. • Implement integrations between internal and external services (APIs, microservices, distributed systems). • Write clean, testable, and efficient code, following engineering best practices and area-defined standards. • Create and run automated and unit tests to ensure delivery quality. • Work closely with product, QA, front-end, and data teams to ensure end-to-end delivery. • Actively participate in code reviews, contributing to collective learning and maintaining technical standards. • Monitor and optimize application performance, identifying and resolving bottlenecks. • Document flows, architectures, and adopted practices to strengthen knowledge sharing. • Collaborate in agile ceremonies (plannings, refinements, retrospectives) with a proactive and solution-oriented approach. • Mentor junior and mid-level developers.