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
Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority
Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills
What You'll Be Doing
Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives
Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group's engineering effort should go
Translate GitLab's company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org
... (and more)
Perks and Benefits
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan