# Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity

**Company**: GitLab
**Location**: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $250,000-$349,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/gitlab/jobs/8786095002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_252ceddf-e27

## Description

GitLab is seeking a Distinguished Engineer to pioneer and scale autonomous, agentic SDLC capabilities across the company.

As a Distinguished Engineer, you will deeply immerse in GitLab's product and internal engineering workflows to identify classes of problems that can be wholly or largely addressed by AI agents, validate them through rigorous experimentation in production-adjacent environments, and codify patterns that can be productized for millions of users.

Responsibilities:

- Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC that aligns with GitLab's product strategy and Engineering job architecture

- Identify and prioritize non-linear productivity opportunities across the SDLC, targeting 10x step changes

- Translate ambiguous problem spaces into concrete, iterable roadmaps in partnership with Product, AI and ML, and Architecture teams

- Lead hands-on experiments and prototypes to validate where agentic workflows can fully own or materially reshape engineering tasks

- Design and implement reference architectures for agentic SDLC inside GitLab

- Define evaluation frameworks to measure correctness, latency, safety, cost, and productivity impact of agentic workflows

- Select and own high-impact internal use cases as pathfinders and drive them from concept through adoption to measurable productivity gains

- Work directly with engineering teams to embed agentic workflows into day-to-day development

- Define and track core productivity metrics and link agentic interventions to real business outcomes

- Capture and codify reusable patterns, libraries, and playbooks for other teams to adopt

- Work with Product Management and Engineering leadership to convert proven internal patterns into product capabilities

- Ensure designs respect multi-tenant, compliance, and data governance requirements

- Serve as a point of escalation for complex technical and architectural decisions

- Mentor Principal and Staff Engineers working on AI and agentic efforts

- Represent GitLab in the broader ecosystem at conferences, standards groups, and open source communities

Requirements:

- 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 and defining evaluation frameworks

- Strong background in scalable, multi-tenant distributed systems

- Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices

- Demonstrated ability to drive cross-functional alignment across Engineering, Product, Infrastructure, and Data and ML teams

- Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions

- Ability to work effectively in a fully remote, globally distributed organization

- Familiarity with GitLab's DevSecOps platform, CI/CD primitives, and the software development lifecycle is a strong plus

Benefits:

- Benefits to support 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

## Skills

### Required
- AI
- ML
- agentic frameworks
- autonomous workflow design
- scalable distributed systems
- human-in-the-loop controls
- safety guardrails
- responsible AI practices

### Nice to have
- GitLab's DevSecOps platform
- CI/CD primitives
- software development lifecycle

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gitlab/jobs/8786095002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)