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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.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications: - Master's degree or PhD in Computer Science or related technical fields.
- Experience in designing, developing, and maintaining large-scale storage systems, distributed databases, or file systems.
- Experience in writing and maintaining code in programming languages, including Go, C , or Java.
- Experience in container orchestration, microservices, and deploying distributed systems using Kubernetes.
About the jobJoin the Google Distributed Cloud SDS team and build the future of storage enabling AI in edge environments. Our mission is to deliver a robust, scalable, and performant storage solution for Google Distributed Cloud and beyond, enabling customers to run their most demanding stateful applications, including AI and Gemini workloads, at the hybrid environment. We build solutions for Google's containerized environment, powered by Google Kubernetes Engine (GKE), addressing complex issues in the evolving world of distributed systems. As a Software Engineer on our early-stage team, you will have a unique opportunity to shape our technical direction, build an exceptional team, and make a significant impact on a rapidly growing product.
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.
- 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 the impact on hardware, network, or service operations and quality.
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