Manager Software Development-automation

AMD AMD · Semiconductors · Austin, TX · Engineering

Manager for a Server Software Automation team focused on delivering scalable, high-quality, and extensible automation infrastructure. The role involves leading a global team, driving automation strategy, developing CI/CD pipelines, and contributing to AI-driven automation solutions. It sits at the intersection of software engineering, automation, and AI innovation.

What you'd actually do

  1. Lead and scale a global software automation team delivering high-quality, scalable solutions
  2. Drive automation strategy across build, test, and release pipelines to improve speed and quality
  3. Partner cross-functionally with engineering, product, and architecture teams to align priorities
  4. Develop and enhance robust CI/CD pipelines and automation frameworks
  5. Contribute hands-on to design, development, and debugging of automation systems

Skills

Required

  • Lead and scale a global software automation team
  • Drive automation strategy
  • Develop and enhance robust CI/CD pipelines and automation frameworks
  • Contribute hands-on to design, development, and debugging of automation systems
  • Lead end-to-end project execution across the software development lifecycle (SDLC)
  • Mentor engineers and build a high-performing, growth-focused team culture
  • Establish and track metrics
  • Champion continuous improvement
  • Collaborate with global stakeholders
  • Experience leading software engineering teams while remaining technically hands-on
  • Strong background in building and scaling automation frameworks
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of Kubernetes and distributed systems
  • Experience with backend/API automation using Python or similar languages
  • Expertise in microservices, REST APIs, and developer tooling
  • Strong understanding of CI/CD pipelines and automated test frameworks
  • Experience troubleshooting complex automation systems
  • Proven ability to scale infrastructure, tools, and pipeline performance
  • Experience working across global engineering teams and stakeholder groups
  • Strong communication skills

Nice to have

  • Additional coursework or practical experience in AI/ML desired

What the JD emphasized

  • AI-driven automation solutions