Infrastructure Engineer - Kubernetes & GKE

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a Software Engineer III, Infrastructure for Google Kubernetes Engine in Sunnyvale, CA. You will design, implement, and maintain distributed systems at large scale, delivering reliable infrastructure used across Google Cloud.

Ideal candidates have strong Go and Python skills, hands-on Kubernetes experience, and a track record mentoring teammates. The role offers competitive compensation, 15% bonus target, equity, and comprehensive benefits.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of software development in Go, Java, or C++ with strong data structures.
• 2 years building large-scale infrastructure, distributed systems, or related compute/storage topics.
• 1 year of Kubernetes experience.
• Master's/PhD in CS or related field (preferred).
• 3 years building distributed systems or cloud infrastructure focusing on Kubernetes (preferred).
• Ability to contribute to Kubernetes or other open-source projects (preferred).
• Excellent communication and people management skills (preferred).

Responsibilities

• Develop new systems and tools in Go, Python using a variety of internal and OSS frameworks.
• Work closely with other engineers across GKE and Google to define requirements, share insights, and deliver impactful solutions.
• Experiment and explore Agentic solutions to solve problems related to test and release excellence.
• Advocate critical features and releases that span the GCE-GKE stack to meet customer requirements.
• Partner with cross-functional teams to manage upgrade lifecycles, troubleshoot complex issues, and optimize for customer experience.

Skills

Go

Java

C++

Kubernetes

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Software Engineer III, Infrastructure for Google Kubernetes Engine in Sunnyvale, CA. You will design, implement, and maintain distributed systems at large scale, delivering reliable infrastructure used across Google Cloud.

Ideal candidates have strong Go and Python skills, hands-on Kubernetes experience, and a track record mentoring teammates. The role offers competitive compensation, 15% bonus target, equity, and comprehensive benefits.