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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Platforms and Infrastructure Engineer, TPU/GPU - **Company:** Google LLC - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $152,000.0 - $221,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Border Gateway Protocol, C++ (Programming Language), Cloud Computing, Cyber Security, Continuous Integration, Data Structures, DevOps, Hypertext Transfer Protocols (HTTP), Identity and Access Management, Python (Programming Language), Key Management, Linux System Administration, Machine Learning, Network Protocols, Tensorflow, Service Discovery, Software Engineering, TCP/IP, Google Cloud, Load Balancing, Pytorch, Kubernetes, Information Technology, Fortinet, Slurm, Serverless Computing, Golang, Vmware - **Published:** September 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a28a452dc13a7e3c ## About the Role Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. The application window will be open until at least September 24, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA; Sunnyvale, CA, USA., * Bachelor's degree in Computer Science or equivalent practical experience. * 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems. * 3 years of experience in project management and technical solution delivery. * Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration. * Experience working with Cloud Providers such as Google Cloud Platform (GCP). * Ability to travel 30% of the time, as needed, for client engagements., * Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing. * Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP). * Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations. * Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management. * Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm. * Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services. ## Description * Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices. * Design and implement cloud-based technical architectures, migration approaches, and application optimizations that enable business objectives in collaboration with customers. * Work with internal Specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. * Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines. * Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. ## Related Videos - [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) - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Generating code with Angular schematics](https://www.wearedevelopers.com/videos/129-generating-code-with-angular-schematics) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) ## Related Articles - [Got AI ideas but no money? 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