Staff Software Engineer, Google Distributed Cloud, Object Storage

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Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

In this role, you will join the Object Storage team within the storage everywhere division to help build the future of data as Google brings cloud capabilities anywhere in data center, at the edge and in the cloud through Google Distributed Cloud. You will be on a mission to deliver highly scalable, secure and performant S3 compatible storage solutions for all platforms, tacking critical issues in data plane and control plane management, maximizing scale, performance tuning, and integration with Google Distributed Cloud as the team builds storage solutions to allow strategy applications to seamlessly run across all of these environments.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 $197,000-$291,000 + 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.

Responsibilities

  • Define the long-term goal and roadmap for Google Distributed Cloud, aligning technical strategy with broader organizational goals.
  • Own the architectural evolution of critical storage services, balancing immediate feature delivery with long-term scalability, performance, and reliability.
  • Lead the ideation and implementation of features while influencing industry standards and best practices.
  • Ensure system health by enforcing rigorous coding standards, monitoring Service Level Objective, Service Level Agreement (SLOs/SLAs) and proactively solving large-scale performance bottlenecks.
  • Foster an engineering environment through direct mentorship of executive talent and modeling core organizational values.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience testing, and launching software products.
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 3 years of experience with software design and architecture.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience with Kubernetes or container orchestration frameworks.
  • Experience managing storage systems.
  • Experience in Go programming.