Distinguished Engineer, Agentic SDLC & Non-Linear Productivity

Job description

About this role

GitLab is the intelligent orchestration platform for DevSecOps. This role pioneers and scales autonomous, agentic software-delivery-lifecycle capabilities across GitLab. The employer states the level may be scoped as either Distinguished Engineer or Fellow Engineer depending on the depth and breadth of experience demonstrated.

Responsibilities

• - Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC that aligns with GitLab's product strategy and Engineering job architecture.
• - Identify and prioritize non-linear productivity opportunities across the SDLC, from planning and coding to review, security, compliance, and operations, targeting 10x step changes rather than incremental gains.
• - Translate ambiguous problem spaces into concrete, iterable roadmaps in partnership with Product, AI and ML, and Architecture teams.
• - Lead hands-on technical experimentation, including defining evaluation frameworks and running benchmarks.

Qualifications and requirements

• - 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role.
• - Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale.
• - Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions.
• - Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience.
• - Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems.