Distinguished Engineer, Agentic SDLC & Non-Linear Productivity

Role Focus:

• Pioneer autonomous, agentic SDLC capabilities across GitLab, bridging Architecture, Product, Infrastructure, and Data/ML teams.
• Design reference architectures for agentic workflows, including safety guardrails, observability, and human-in-the-loop controls.
• Translate ambiguous problem spaces into concrete roadmaps and validate them through rigorous experimentation.

Responsibilities:

• Identify and prioritize non-linear productivity opportunities across the SDLC, targeting 10x step changes.
• Define evaluation frameworks to measure correctness, latency, safety, and productivity impact of agentic workflows.
• Capture and codify reusable patterns, libraries, and playbooks for team adoption and eventual productization.

Qualifications:

• Requires 10+ years of software engineering experience, with 4+ years in a Staff or Principal-level technical leadership role.
• Must have deep expertise in AI/ML systems, agentic frameworks, and scalable, multi-tenant distributed systems.
• Demonstrated ability to drive cross-functional alignment and mentor senior engineers in a fully remote, global organization.