• Design, build, and maintain scalable and resilient data pipelines • Work with large volumes of structured and unstructured data • Ensure data quality, consistency, and governance • Collaborate with software engineers, analysts, and data scientists • Participate in technical decisions regarding data architecture and tooling

• Conduct deep customer discovery to understand business goals, technical constraints, and organizational dynamics, and translate them into clear problem statements and a prioritized use case plan for GitLab Duo Agent Platform. • Partner with customer stakeholders across engineering, security, compliance, and business teams to align on success criteria, milestones, and adoption strategy for AI workflows in production. • Design, build, and deploy production-ready GitLab Duo Agent Platform solutions, including Custom Agents, Custom Flows, and CI/CD integrations that map to validated customer use cases. • Embed with customer engineering teams to deliver hands-on implementations end-to-end, from prototype to production rollout, troubleshooting, and optimization. • Configure and integrate platform foundations such as runners, network access, runtime sandboxing, GitLab APIs (REST and GraphQL), and AI governance controls (for example, role-based access control and model policies) to meet enterprise requirements. • Measure and communicate impact using DORA (DevOps Research and Assessment) metrics, AI Impact Analytics, and Value Stream Analytics, and use those insights to guide iteration and expansion of successful use cases. • Codify repeatable deployment patterns, reusable assets, and lessons learned, contributing back to GitLab through documentation, accelerators, and product feedback informed by field experience. • Travel up to 50% for customer site engagements and company onsite events to support delivery, onboarding, and stakeholder alignment.

• Participate in an agile team to deliver the full lifecycle, including requirements, architecture, design, development, testing and deployment • Design, develop, and maintain code that meets requirements is high quality, and performs efficiently and effectively to provide great customer experience • Incorporate standards and best practices, including performance, security, scalability, and maintainability • Update and maintain system design documents • Review and provide feedback on functional and technical requirements • Define and propose solutions for meeting requirements • Contributing to improvements in the software development lifecycle (SDLC) utilizing practices such as test-driven development (TDD), static code analysis, code reviews, continuous integration, continuous delivery, and automated security scanning • Working closely with solutions architects and senior developers to ensure system design follows the industry best practices and standards that are aligned with the Judiciary framework • Investing in learning and the software development efficiency of the entire office through teamwork, personal responsibility, individual and group training, and process improvement

• Design, develop, and optimize backend systems for real-time data processing and web services • Work with cross-functional teams to integrate backend components with other services, ensuring performance and scalability • Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions • Conduct performance tuning, debugging, and testing of backend systems to ensure reliability and efficiency • Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects • This role includes participation in a shared on-call rotation • Mentor junior developers, helping all team members grow in our mission, values and abilities