Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity

52 minutes ago
Full-time
Lead
Software Development
GitLab

GitLab

GitLab: The comprehensive DevOps platform revolutionizing software development with automation, AI workflows, and essential tools for efficient collaboration.

Internet Software & Services
1K-5K
Founded 2014

Description

  • Define and refine the technical vision for autonomous, agentic SDLC across the company.
  • Identify and prioritize high-impact productivity opportunities across planning, coding, review, security, compliance, and operations.
  • Translate ambiguous problem spaces into concrete roadmaps with Product, AI/ML, and Architecture teams.
  • Lead hands-on experiments and prototypes to validate agentic workflows in production-adjacent environments.
  • Design reference architectures for agentic SDLC, including orchestration, safety guardrails, observability, and human-in-the-loop controls.
  • Define evaluation frameworks and measure correctness, latency, safety, cost, and productivity impact.
  • Own selected internal pathfinder use cases from concept through adoption and measurable gains.
  • Embed agentic workflows into engineering teams’ day-to-day development processes.
  • Track productivity metrics such as cycle time, MTTR, and MR throughput and connect them to business outcomes.
  • Codify reusable patterns, libraries, and playbooks for broader team adoption.
  • Partner with Product Management and Engineering leadership to turn internal patterns into customer-facing product capabilities.
  • Ensure designs meet multi-tenant, compliance, and data governance requirements.
  • Serve as an escalation point for complex architectural decisions related to agentic workflows, AI safety, and large-scale system integration.
  • Mentor Principal and Staff Engineers working on AI and agentic efforts.
  • Write design documents, architecture narratives, and decision records to guide alignment and execution.
  • Represent GitLab externally in conferences, standards groups, and open source communities.
  • Partner with Security, Compliance, Reliability, and SRE teams to ensure responsible, observable, resilient agentic services.

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 hands-on technical experimentation, including benchmarks and evaluation frameworks.
  • Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience.
  • Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems.
  • Ability to drive cross-functional alignment across Engineering, Product, Infrastructure, and Data/ML teams.
  • 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 strong written and asynchronous communication skills.
  • Familiarity with GitLab’s DevSecOps platform, CI/CD primitives, and the software development lifecycle is a strong plus.

Benefits

  • Base salary range of $260,000 to $345,000 USD for U.S. residents, depending on level, experience, and location.
  • Flexible Paid Time Off.
  • Equity compensation and an Employee Stock Purchase Plan.
  • Growth and Development Fund.
  • Parental leave.
  • Home office support.
  • Benefits to support health, finances, and well-being.
  • Team Member Resource Groups.

Interested in this position?

Apply directly on the company website

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