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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- Experience building and maintaining Linux distributions (e.g., package management, Kernel updates, kernel configuration management toolings).
- 1 year of experience in working with operating systems.
Preferred qualifications: - Master's degree or PhD in Computer Science or related technical fields.
- Experience with programming languages such as C or Go.
- Experience in Linux boot loaders, initramfs, attestation infrastructure, TPMs, etc.
- Knowledge of Kubernetes, including developing Kubernetes controllers, debugging in the k8s environment.
About the jobJoin the Google Distributed Cloud Hosted (GDCH) Node Platform team and be part of a pioneering effort to deliver consistent cloud experiences anywhere across enterprises, new geographies, and the edge in disconnected, connected, and hybrid forms. Our innovative Google Distributed Cloud air-gapped and connected solutions provides a bundled software and hardware offering tailored for customers who require operational independence and data sovereignty.
This is a great opportunity to be at the forefront of innovation in leading technologies like confidential computing and advanced GPU infrastructure.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Write product or system development code.
- Solve ambiguous problems end-to-end including scoping, design, implementation and testing of GDC connected and GGS solutions.
- Work cross-team with Product Managers, Vendors, NPI, Cluster teams and to make NodeOS easy and intuitive for its users.
- Create high-quality deliverables, generalize common patterns to remove development and operations bottlenecks.
