Design, develop, and operate software and systems to enhance Google Kubernetes Engine's (GKE) scalability for massive AI/ML workloads.

Diagnose and resolve performance bottlenecks across the Kubernetes stack at scale.

Collaborate with teams across Google Cloud to deliver highly reliable and performant large-scale cluster solutions.

Contribute to the full software development lifecycle, from ideation to production support.

Participate in on-call rotations to ensure the stability of large-scale GKE clusters.

Bachelor's degree or equivalent practical experience.

8 years of experience with one or more general purpose programming such as: Java, C/C++, Python, Objective C, JavaScript, or Go.

Experience in one or more of the following: test automation, refactoring code, test-driven development, build infrastructure, optimizing software, debugging, building tools and testing frameworks.

Experience with coding in data structures, algorithms and software design.

Experience in performance debugging of single-node systems.