Senior Software Engineer, Google Distributed Cloud, Golang, Infrastructure

Senior Software Engineer, Google Distributed Cloud, Golang, Infrastructure

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Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Kirkland, WA, USA;
Seattle, WA, USA
.

• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience.
• 5 years of experience with software development, with a focus on Go (Golang) building production-grade systems in a Linux environment.
• 3 years of experience testing, maintaining, or launching software products.
• Experience with Kubernetes architecture (e.g., Controllers, API machinery) and building cloud-native infrastructure.

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role driving new products from design to execution.
• Experience extending Kubernetes via the Operator SDK, Kubebuilder, or custom controllers.
• Experience in Go (concurrency patterns, performance tuning) and Distributed Systems (consensus, fault tolerance, eventual consistency).
• Ability to navigate ambiguity and drive technical alignment in a cross-functional organization.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;

the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Google Distributed Cloud Hosted (GDCH) team is an initiative that brings the power of Google Cloud to customers with strict regulatory requirements in disconnected, air-gapped environments. We are building a converged hardware/software solution that leverages open-source technologies to deliver managed cloud services on-premise.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Write and test system-level code in Go to manage the full life-cycle of Kubernetes clusters, including creation, upgrades, health monitoring, and autonomous recovery…