Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity
Core
Pioneer and scale autonomous, agentic SDLC capabilities to drive non-linear productivity improvements across the software development lifecycle.
Role type
Distinguished Engineer (AI/ML Systems & Agentic Workflows)
Builds
Internal agentic workflows for autonomous MR authoring, test creation, security remediation, and incident response within GitLab's DevSecOps platform.
Domain
Software Engineering, AI/ML, DevSecOps, Autonomous Agents
Deliverable
production ML models | product features
Required skills
AI and ML systems expertise, large language models, agentic frameworks, autonomous workflow design, scalable multi-tenant distributed systems, human-in-the-loop controls, safety guardrails, cross-functional leadership, technical experimentation, architecture design, mentoring senior engineers
Preferred skills
GitLab DevSecOps platform familiarity, CI/CD primitives, software development lifecycle knowledge
Technologies
Large language models, agentic frameworks, autonomous workflow orchestration
Responsibilities
Define company-wide technical vision for agentic SDLC, lead hands-on experiments and prototypes, design reference architectures with safety guardrails, define evaluation frameworks for productivity impact, mentor Principal and Staff Engineers, represent GitLab in open source communities, partner with Security and Compliance on guardrails, ensure resilience with SRE teams
Seniority
Distinguished/Fellow level, hands-on IC with strategic scope
