<p>Apply</p> <p>share</p> <ul> <li>linkCopy link </li><li>emailEmail a friend </li></ul> <p>Minimum qualifications:</p> <ul> <li> <p>Bachelor's degree or equivalent practical experience.</p> </li><li> <p>2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.</p> </li><li> <p>Experience building and maintaining Linux distributions (e.g., package management, Kernel updates, kernel configuration management toolings).</p> </li><li> <p>1 year of experience in working with operating systems.</p> </li></ul> <p>Preferred qualifications:</p> <ul> <li> <p>Master's degree or PhD in Computer Science or related technical fields.</p> </li><li> <p>Experience with programming languages such as C++ or Go.</p> </li><li> <p>Experience in Linux boot loaders, initramfs, attestation infrastructure, TPMs, etc.</p> </li><li> <p>Knowledge of Kubernetes, including developing Kubernetes controllers, debugging in the k8s environment.</p> </li></ul> <p>About the job</p> <p>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.</p> <p>Join 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.</p> <p>This is a great opportunity to be at the forefront of innovation in leading technologies like Confidential Computing and advanced GPU infrastructure.</p> <p>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.</p> <p>The US base salary range for this full-time position is $147,000-$211,000 + 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.</p> <p>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.</p> <p>Responsibilities</p> <ul> <li> <p>Write product or system development code.</p> </li><li> <p>Solve ambiguous problems end-to-end including scoping, design, implementation and testing of GDC connected and GGS solutions.</p> </li><li> <p>Work cross-team with Product managers, Vendors, NPI, Cluster teams and to make NodeOS easy and intuitive for its users.</p> </li><li> <p>Create high-quality deliverables, generalize common patterns to remove development and operations bottlenecks.</p> </li></ul>