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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.
• Experience in a Linux/Unix operating system environment.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with data structures and algorithms.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud environments.
• Experience in software development using C or Go.
About the job
We are the team building the infrastructure for Google Distributed Cloud (GDC) connected on-premise Anthos clusters. Our platform provides a variety of customers including retail and global telecommunications with a managed k8s platform that is located in their data centers, connected to their private network. We deliver the compute and storage services that support mission-critical workloads for retail customers as well as manufacturing customers including ASML.
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 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 the impact on hardware, network, or service operations and quality.
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