Distinguished Engineer, Agentic SDLC – Non-Linear Productivity

🕒 September 11

🌐 United States, Canada, +2 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇵🇱 Poland – Remote 🇬🇧 United Kingdom – Remote

💵 $250k - $349k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC aligned 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 with Product, AI and ML, and Architecture teams • Lead hands-on experiments and prototypes for autonomous MR authoring, test creation and triage, security remediation, release readiness, and incident response • Design and implement reference architectures including orchestration patterns, safety guardrails, observability, and human-in-the-loop controls • Define evaluation frameworks using offline benchmarks and online experiments • Own high-impact internal use cases from concept through adoption and measurable productivity gains • Embed agentic workflows into day-to-day engineering development • Define and track productivity metrics such as cycle time, MTTR, and MR throughput • Codify reusable patterns, libraries, and playbooks • Convert proven internal patterns into safe, reliable product capabilities • Ensure compliance, data governance, and multi-tenant requirements are respected • Serve as escalation point for complex technical and architectural decisions • Mentor Principal and Staff Engineers • Write design documents, architecture narratives, and decision records • Represent GitLab in conferences, standards groups, and open source communities • Partner with Security, Compliance, Reliability, and SRE teams on guardrails, monitoring, observability, and resilience

🎯 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, 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 • Demonstrated ability to drive cross-functional alignment across Engineering, Product, Infrastructure, and Data and ML teams on complex, ambiguous technical challenges • 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 • Familiarity with GitLab's DevSecOps platform, CI/CD primitives, and the software development lifecycle is a strong plus

🏖️ Benefits

• 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