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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Site Reliability Engineer - Storage - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $85,788.0 - $128,682.0 - **Contract:** Permanent contract - **Skills:** DCOs, Amazon Web Services, Amazon S3, Build Automation, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Distributed File Systems, File Systems, Distributed Data Store, General Parallel File Systems, InfiniBand, Python (Programming Language), NetApp Applications, Remote Direct Memory Access, Reliability Engineering, Zabbix, High Performance Computing, Mesosphere, Containerization, Pure Storage, Kubernetes, Information Technology, Slurm, Splunk, Docker, Golang - **Published:** August 11, 2026 - **Apply:** https://www.jofdav.com/jobs/59184313-senior-site-reliability-engineer-storage ## About the Role * BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience. * 8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications. * Design, deployment and management of Enterprise NAS solutions like NetApp, Pure Storage and S3 based storage such as cloudian MinIO. Design, deployment, and management of Enterprise NAS solutions like NetApp, Pure Storage, and S3-based storage such as Cloudian MinIO. * Experience with one or more parallel or distributed filesystems such as Lustre, GPFS. * Python/Bash/Golang programming/scripting experience. * Strong Experience operating services in any of the leading Cloud environment ( AWS, Azure or GCP). * Experience with multiple monitoring stacks such as Prometheus+Grafana, Elasticsearch+Kibana, Splunk, Zabbix, etc. Familiarity with newer and emerging monitoring products. * Excellent communication and collaboration skills. Ways To Stand Out Of The Crowd: * Background with RDMA (InfiniBand or RoCE) fabrics. * Prior Experience with HPC cluster management tools such as Slurm, PBS, LSF, etc. * Experience with containerization technologies, such as Docker, Mesosphere DCOS, Kubernetes (k8s). ## Description Join our team at NVIDIA as a Senior Site reliability engineer focused on HPC storage and play a crucial role in designing, implementing, and optimizing on-prem High-Performance Computing (HPC) storage solutions while harnessing the power of cloud computing. You will be responsible for crafting and deploying distributed storage solutions, build automation tools, and ensuring the efficient operations of our growing IT ecosystem. You will collaborate closely with engineering teams to align infrastructure with their evolving needs, document best practices, and contribute to the success of ground breaking projects. What You'll Be Doing: * Design, implement an on-prem HPC infrastructure supplemented with cloud computing to support the growing IT needs of NVIDIA. * Design and implement scalable and efficient Storage solutions tailored for data-intensive applications, optimizing performance and cost-effectiveness. * Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. * Document the general procedures and practices, perform technology evaluations, related to distributed file systems. * Collaborate across teams to better understand developers' workflows and gather their infrastructure requirements. * Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization. ## 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) - [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) - [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) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Retooling and refactoring - an investment in people.](https://www.wearedevelopers.com/videos/371-retooling-and-refactoring-an-investment-in-people) - [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) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)