Back
Strong Tier-1 employer, metro location, and a popular mid-level lead engineering title increase competition.
Role centers on infrastructure/platform engineering and GitOps, limiting easy transfer across unrelated domains.
Multiple explicit years requirements and mandatory niche skills (LLMs, GitOps, Python, platform design) raise selection strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and development of advanced agentic AI-driven automation systems transforming enterprise infrastructure and platform engineering.
Build and maintain self-service platforms and robust Python-based APIs enabling infrastructure management and automation.
Define AI standards for infrastructure transformation; collaborate across security, platform, and application teams; lead mentoring and code reviews.
6+ years of Software Engineering experience with strong focus on AI/ML systems.
3+ years implementing GitOps practices with GitHub or similar tools.
3+ years designing RESTful APIs and Python and/or NodeJS automation systems.
5+ years designing large-scale modular platforms/systems; experience with LLMs and AI-assisted tools like GitHub Copilot.
Experienced in leading complex AI-based infrastructure automation initiatives with measurable impact on platform scalability and productivity.
Comfortable collaborating across multiple technology disciplines including platform, security, and applications in Agile environments.
Skilled in integrating AI-assisted development tools and enforcing engineering best practices for large-scale distributed systems.