Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity
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GitLabSoftware Development
GitLab hires new team members in countries around the world. All of our roles are remoteFull-TimeSenior
Salary250,000 - 349,000 USD per year
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Job Details
- Experience
- 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role
- Required Skills
- LeadershipArtificial IntelligenceMachine LearningSoftware ArchitectureCI/CDLLMDistributed Systems
Requirements
- 10+ years of software engineering experience.
- 4+ years in a Staff, Principal, or equivalent senior technical leadership role.
- Deep expertise in AI and ML systems, including LLMs, agentic frameworks, and autonomous workflow design.
- Proven track record of technical experimentation, benchmarking, and translating findings into architecture.
- Strong background in scalable, multi-tenant distributed systems.
- Experience designing human-in-the-loop controls and responsible AI practices.
- Demonstrated ability to drive cross-functional alignment on complex, ambiguous technical challenges.
- Experience mentoring senior engineers and influencing technical direction.
- Excellent written and asynchronous communication skills.
- Familiarity with GitLab's DevSecOps platform and CI/CD primitives is a strong plus.
Responsibilities
- Define and refine a company-wide technical vision for autonomous, agentic SDLC.
- Identify and prioritize non-linear productivity opportunities across the SDLC to target 10x step changes.
- Lead hands-on experiments to validate agentic workflows for tasks like MR authoring, testing, and incident response.
- Design and implement reference architectures for agentic SDLC including orchestration and human-in-the-loop controls.
- Define evaluation frameworks to measure correctness, latency, safety, and productivity impact.
- Mentor Principal and Staff Engineers on AI and agentic efforts.
- Represent GitLab in the broader ecosystem regarding AI-assisted development and productivity measurement.
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