• Work collaboratively with designers, product managers, testers and other engineers • Leverage cutting-edge technologies and modern practices • Build and ship high-quality code at a rapid pace • Develop software that is fast, secure and reliable to meet defined requirements • Monitor, identify, and correct more complex software defects to maintain fully functioning software • Produce multiple concepts and prototypes to design digital products/services • Research and suggest ways to optimize solutions to better meet user and/or business needs • Drive maintenance road map to facilitate software development and ensure the development work is prioritized in line with business requirements

• Build and Maintain Core Features • Write High-Quality, Well-Tested Code • Perform Peer Code Reviews • Guide and Support Junior Engineers • Contribute to System Reliability and Releases • Review Technical Requirements and Surface Tradeoffs • Contribute to Engineering Culture

• Design, implement, and ship AI-driven features and systems into production environments • Own technical decision-making for AI architecture, data modeling, and system integration • Partner closely with Product, Engineering, and other stakeholders to translate business needs into scalable technical solutions • Identify and address reliability, scalability, performance, and observability challenges in AI systems • Establish and evolve best practices for applied AI engineering, including agent evaluation, interpretability, and reliability, data layer design, monitoring, explainability, and continuous improvement • Mentor and guide other engineers, raising the bar on AI engineering quality and decision-making • Contribute to technical strategy and roadmap discussions related to AI capabilities and overall platform evolution

• Own and drive the architectural direction for critical infrastructure platforms that support GitLab at global scale. • Lead the design and evolution of large platforms and distributed systems that are scalable, resilient, secure, and cost-efficient. • Serve as the technical authority on complex initiatives, guiding decisions that impact multiple teams and product areas. • Translate business and product strategy into long-term technical roadmaps and execution plans. • Drive alignment across engineering, product, and leadership by clearly communicating tradeoffs and recommendations. • Establish technical standards and architectural patterns that raise quality and consistency across the organization. • Be accountable for production outcomes, including reliability, performance, and operational excellence. • Mentor senior engineers and act as a force multiplier through influence rather than direct authority. • Operate effectively in ambiguous problem spaces where both the problem and the solution need to be defined.