> Markdown version of [/jobs/ext/2548470-senior-staff-software-engineer-gdc-infra-cluster](https://www.wearedevelopers.com/jobs/ext/2548470-senior-staff-software-engineer-gdc-infra-cluster). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Software Engineer, GDC Infra Cluster - **Company:** Google LLC - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $262,000.0 - $364,000.0 - **Contract:** Permanent contract - **Skills:** Data Structures, Distributed Systems, Reliability Engineering, Software Engineering, HybridCloud, Kubernetes, Information Technology, Bare Metal - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=28784f384ec9afe4 ## About the Role * Bachelor's degree or equivalent practical experience. * 8 years of experience in software development. * 5 years of experience with design and architecture; and testing/launching software products. * 5 years of experience with cloud platforms, distributed computing, building scalable architecture, and leading software engineering teams., * Master's degree or PhD in Engineering, Computer Science, or a related technical field. * 8 years of experience with data structures and algorithms. * 5 years of experience in a technical leadership role leading project teams and setting technical direction. * 5 years of experience building, scaling, and maintaining production Kubernetes infrastructure, Anthos/Google Kubernetes Engine (GKE) enterprise, or bare-metal hybrid cloud deployments. ## Description * Define the technical roadmap and strategy for the Kubernetes Infrastructure layer of the GDC product line. * Drive and influence engineering excellence across the organization, establish Service Level Objective (SLO) driven engineering practices, deliver industry-leading infrastructure with top supportability, stability, and resilience. * Drive and lead the end-to-end development lifecycle for GDC projects, from concept and design to deployment and maintenance. * Work closely with GDC product, operators, SREs (Site Reliability Engineers), and other engineering teams and lead to deliver impactful solutions. * Ensure the tools and applications are robust, scalable, and performant, meeting the high demands of a global infrastructure. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Single Server, Global Reach: Running a Worldwide Marketplace on Bare Metal in a Cloud-Dominated World](https://www.wearedevelopers.com/videos/1206-single-server-global-reach-running-a-worldwide-marketplace-on-bare-metal-in-a-cloud-dominated-world) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Software Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/194-software-developer-salary-in-germany-2023) - [Fullstack developer salary in Germany [2023]](https://www.wearedevelopers.com/magazine/197-fullstack-developer-salary-in-germany-2023) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)