GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. 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. An overview of this role As a Staff Fullstack Engineer on the AI Engineering Duo Chat group, you’ll build and evolve the core AI capabilities that power GitLab Duo Chat, helping customers work faster and more securely across the GitLab platform. You’ll boost AI functionality, integrate major providers like Google Vertex AI, and shape the product roadmap by designing new tools and strengthening testing, quality, and performance. Working across Ruby on Rails, Python, JavaScript, and Vue.js, you’ll collaborate closely with product management and specialists across frontend, backend, and UX to deliver secure, well-tested, and reliable features that meaningfully improve the developer experience. Some examples of our projects: Integrating new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality Improving debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale What you’ll do Develop, ship, and maintain features and improvements for GitLab Duo Chat across the full stack in a secure, well-tested, and performant way Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver high-quality, iterative product enhancements What you’ll bring Professional experience building and maintaining production services with Python, including debugging, testing, and performance optimization Experience in frontend development using JavaScript and modern frameworks such as Vue.js or React Familiarity with AI technologies and generative AI systems, with exposure to GitLab Duo Chat or similar AI-powered chat products Working knowledge of GraphQL and RSpec, or willingness to learn comparable tools and testing frameworks Ability to write secure, well-tested, and maintainable code across the stack in a high-scale web environment Comfortable working in a highly agile, iterative, and largely asynchronous remote setting, taking ownership as a “manager of one” Strong communication and collaboration skills, able to work closely with product management and cross-functional engineering partners Openness to learning, transferable skills, and diverse technical backgrounds aligned with GitLab’s values and all-remote culture About the team The Duo Chat team sits within GitLab’s AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You’ll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. We focus on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging and testing workflows so GitLab customers can safely use AI to plan, write, review, and secure their code. How GitLab will support you 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 Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

• Atuar com desenvolvimento utilizando Java e frameworks do ecossistema Spring; • Colaborar com times multidisciplinares para construir soluções escaláveis e seguras; • Contribuir com práticas de integração e orquestração de dados utilizando Airflow e Kafka; • Apoiar na definição de arquitetura e boas práticas de engenharia; • Desenvolver e manter pipelines de CI/CD utilizando Azure DevOps; • Atuar com conteinerização e deployments usando Docker e Helm; • Interagir com stakeholders internos e externos, garantindo alinhamento técnico;

• Design, develop, test, deploy, and support capabilities for a world-class enterprise platform. • Create scalable, high-performance microservices with exceptional availability, interoperability, and reliability. • Contribute architectural designs and technical proof-of-concepts while adhering to established standards and architectural guidance. • Foster software development best practices including pair programming, code formatting standards, secure coding practices, and peer code reviews. • Champion and implement process improvements across the development lifecycle. • Provide hands-on technical guidance and mentor team members to enhance their technical capabilities. • Take accountability for scrum team success and delivery outcomes. • Execute scrum processes while maintaining focus on technical excellence. • Collaborate with senior engineers and product management to create epics and user stories, defining technical acceptance criteria. • Work with enterprise architectural models and distributed software design patterns. • Serve as a technical expert, mentoring junior engineers and elevating quality standards. • Navigate ambiguity and moderate complexity while proactively identifying and resolving issues. • Share ownership of quality assurance, test automation, continuous integration/delivery, and production operations. • Escalate challenges and risks promptly to ensure timely resolution.

• Work on tasks that you can see directly in the application • Be part of a cross-functional team, a full “mini-startup” within the company • Work with OKRs, focusing on high-impact work rather than busywork • Deal with high-load systems, plan releases, and roll out features gradually • Face real technical challenges every day • Work with AI assistants that are already part of the environment and can be leveraged in your workflow