• Develop, maintain, and optimize server-side applications in Perl • Work extensively with CPAN modules and common Perl frameworks such as Catalyst, DBIx::Class, Plack (PSGI), Template Toolkit (TT), and Moose • Build scalable architectures and contribute to design discussions • Develop and enhance client-side functionality using JavaScript • Write efficient SQL queries and work with relational databases such as PostgreSQL and MySQL • Perform schema design, optimization, indexing, and troubleshooting • Work with Git for version control • Deploy, debug, and monitor applications in a Linux environment • Investigate, diagnose, and resolve complex technical issues across the stack • Identify opportunities for improving application performance, stability, and maintainability • Write unit tests using Perl and JavaScript testing frameworks • Refactor legacy codebases to improve structure, readability, and performance • Follow best practices, coding standards, and documentation processes • Work with cross-functional teams including product, test, and DevOps • Participate in sprint planning, stand-ups, code reviews, and retrospectives • Switch contexts effectively while handling multiple feature requests and support tasks.

• You’ll work on building AI-powered systems that solve real business problems — combining code, APIs, and AI tools to create reliable, scalable solutions. • Build and deploy AI-powered workflows and backend systems • Design solutions that combine APIs, scripts, and AI agents • Work with internal teams to understand problems and turn them into technical solutions • Prototype quickly — but also improve and harden systems over time • Optimize solutions (e.g., reduce token usage, improve performance) • Debug and adapt systems when things don’t work as expected • Document your work and explain your thinking clearly

• You’ll work on building AI-powered systems that solve real business problems — combining code, APIs, and AI tools to create reliable, scalable solutions. • Build and deploy AI-powered workflows and backend systems • Design solutions that combine APIs, scripts, and AI agents • Work with internal teams to understand problems and turn them into technical solutions • Prototype quickly — but also improve and harden systems over time • Optimize solutions (e.g., reduce token usage, improve performance) • Debug and adapt systems when things don’t work as expected • Document your work and explain your thinking clearly

• Participate in architectural discussions and technical decisions related to Git and Gitaly, helping drive implementation choices that improve correctness, performance, and maintainability. • Contribute features, bug fixes, and performance improvements to upstream Git in line with team and community goals, delivering changes that improve repository access and reliability for users. • Adapt Gitaly to make effective use of Git capabilities, including integrating newly available features to improve scalability, efficiency, and long-term maintainability. • Connect discussions in the open source Git project with GitLab's product direction and engineering work, helping align upstream contributions with product and platform needs. • Scope tasks, estimate effort, and describe implementation plans that support the team's priorities and enable predictable delivery of technical work. • Test and validate the features you build and integrate, with a focus on correctness and reliability to reduce regressions and support stable production use. • Collaborate with team members, contributors and the Git ecosystem • Represent GitLab as a constructive participant in the open source ecosystem, building productive relationships that support ongoing collaboration with the Git community.