Sr. Manager Software Development

• Lead a team of talented software engineers based in Bangalore, improving build-test pipelines to enable faster feature delivery
• Collaborate with global teams, including product management, feature teams, and release teams, to optimize automation strategies
• Work with key stakeholders across multiple global locations, including Bangalore, Penang, Taiwan & Austin Texas
• Drive automation strategies, ensuring scalable, resilient, and deterministic solutions
• Lead by example, contributing hands-on to design, development, debugging, and making development pipelines robust
• Proven expertise in managing projects throughout the software development lifecycle (SDLC)
• Mentor and develop engineers, fostering technical excellence and career growth
• Define and leverage key metrics to refine automation processes, track efficiency improvements, and optimize release cycles
• Continuous Improvement: Establish metrics and processes that demonstrate AI’s impact in improving efficiency, quality, and customer satisfaction
• AI adoption: Serve as a champion for AI adoption, mentoring teams and influencing AMD’s position as an industry leader in AI-enabled firmware
• Stay up-to-date with the latest trends and advancements in test automation technologies

• B.E, or B.Tech in Computer Science or equivalent experience
• 6+ years of technical management experience, leading software engineers while remaining hands-on with software development, test automation, and troubleshooting
• Experience in building Automation frameworks
• Strong experience with at least one of the three major hyper-scalers (AWS, Azure or GCP)
• Strong knowledge of Kubernetes
• Experience with Backend and API automation with Python or equivalent
• 15+ years of software development experience in Python, Java, or similar languages, with expertise in microservices, REST APIs, pytest, and developer tooling
• Deep understanding of automated test frameworks, CI/CD pipelines, and scalable build-test automation
• Experience in troubleshooting and managing complex automation systems
• Ability to foster collaboration across software and Hardware teams to enhance developer efficiency
• Demonstrated leadership and problem-solving skills in scaling test infrastructure, building tools, microservices, and improving pipeline performance
• Excellent written and verbal communication skills, with the ability to present technical concepts to executive stakeholders
• Prior demonstrated experience of working with global engineering teams partnering with key stakeholders across NA, UK, EMEA & APAC regions

Advanced coursework or practical experience in AI/ML preferred