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Tech Stack
Tools & technologiesDistributed Systems
About the role
Key responsibilities & impact- Set and continuously refine the go-forward technical direction for CI, CD, Plan, and source code experiences.
- Partner directly with the VP of Engineering on planning, technical investment, and engineering priorities.
- Translate company-wide productivity, quality, and AI-native engineering goals into technical direction and iterative roadmaps for Core DevOps.
- Define measurable quality standards for availability, p95 and p99 latency, pipeline success rate, test reliability, data correctness, and defect escape rate.
- Identify systemic technical risks and drive prioritized plans to retire them.
- Lead complex design decisions through code, prototypes, and proofs of concept.
- Drive convergence on shared patterns, libraries, and paved paths.
- Design incremental migration, dual-run, rollback, and deprecation strategies for long-lived systems.
- Adopt AI platform capabilities into Core DevOps and feed requirements back to the AI organization.
- Serve as escalation point for complex or contested technical decisions.
- Review critical-path designs and merge requests, using reviews to teach.
- Ensure designs work across GitLab.com, GitLab Dedicated, and Self-Managed deployments while respecting multi-tenant, compliance, and data-governance boundaries.
- Partner with Infrastructure, Security, and SRE on observability, debuggability, and graceful failure modes.
- Communicate architectural constraints and opportunities to Product through roadmap terms.
- Write design documents, architecture narratives, and decision records.
- Grow Principal and Staff Engineers and contribute to the senior technical hiring bar.
- Participate in the Incident Management on-call rotation and complete Interview Training for technical interviewing.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave