Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of programming experience in one or more of the following programming languages: C, C , Golang, Python, Java.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks.
- Experience managing and maintaining a production-ready Kubernetes environment, offering IaaS to development teams, orchestrating changes and containerized infrastructure applications, monitoring cluster/infrastructure health, troubleshooting issues, and ensuring continuous uptime and performance.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical field.
- Experience with Kubernetes networking principles, managing and troubleshooting network configurations in production Kubernetes environments for large enterprise.
- Experience with Google Kubernetes Engine or similar.
- Experience in areas of networking including Linux, software-defined networking, virtualization, open protocols, load balancing, DNS, virtual private networks and their application to IaaS technologies.
About the jobThe Kubernetes Networking team is responsible for building networking solutions and networking abstractions for these environments and drive solutions integration and validation efforts collaborating with Partners and Customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- 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 by analyzing the sources of issues and its impact.