Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
1 year of experience building and developing large-scale infrastructure or distributed systems.
Nice to haves:
Master's degree in Computer Science or a related technical field.
Experience with Go.
Experience with kubernetes or cloud products and highly scalable systems.
What you'll be doing:
Write product or system development code. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve.
Design, develop, and operate software and systems to enhance GKE's 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. Participate in on-call rotations to ensure the stability of large-scale GKE clusters.
Perks and benefits:
Opportunity to work on cutting-edge technologies that impact billions of users.
Chance to work on a critical project for Google with potential to switch teams and projects.
Contribute to shaping the future of large-scale AI on kubernetes.
Work in a fast-paced, innovative environment with a focus on pushing technology forward.