Software Engineer Manager, GKE and AI Infrastructure

Job description

Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience in distributed cloud computing including 3 years of experience in containerization, container orchestration, or operations management. - 3 years of experience in a technical leadership role. - 2 years of experience in a people management or team leadership role. Preferred qualifications: - Master's degree or PhD in Computer Science or a related technical field. - 3 years of experience working in a complex, matrixed organization. - Experience implementing and managing agentic AI solutions and workflows for compute infrastructure. About the job: As a Software Engineering Manager, you will oversee the technology powering the massive infrastructure of the world's most companies. Your mission is to ensure the sustainable success of Kubernetes while positioning it as the premier platform for the next generation of AI/ML workloads. You will partner with product teams to optimize Google Kubernetes Engine (GKE) for the unique, high-performance demands of machine learning. You will shape the product roadmap to evolve our core infrastructure,...