Distinguished Engineer, Agentic SDLC & Non-Linear Productivity

Related skills

devsecops distributed systems ai sdlc ml

πŸ“‹ Description

  • Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC that
  • Identify and prioritize non-linear productivity opportunities across the SDLC, from planning and
  • Translate ambiguous problem spaces into concrete, iterable roadmaps in partnership with Product, AI
  • Lead hands-on experiments and prototypes to validate where agentic workflows can fully own or
  • Design and implement reference architectures for agentic SDLC inside GitLab, including
  • Define evaluation frameworks using offline benchmarks and online experiments to measure

🎯 Requirements

  • 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or
  • Deep expertise in AI and ML systems, including large language models, agentic frameworks, and
  • Proven track record of leading hands-on technical experimentation, including defining evaluation
  • Strong background in scalable, multi-tenant distributed systems, including service decomposition
  • Experience designing and implementing human-in-the-loop controls, safety guardrails, and
  • Demonstrated ability to drive cross-functional alignment across Engineering, Product

🎁 Benefits

  • Competitive base salary range of $250,000 to $349,000 USD for residents of the United States
  • Benefits to support health, finances, and well-being
  • Flexible Paid Time Off
  • Team Member Resource Groups
  • Equity Compensation and Employee Stock Purchase Plan
  • Growth and Development Fund
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