> Markdown version of [/jobs/ext/2013707-engineer-storage-organization](https://www.wearedevelopers.com/jobs/ext/2013707-engineer-storage-organization). 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). --- # Engineer, Storage Organization - **Company:** Coreweave, Inc. - **Location:** Bellevue, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $143,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Artificial Intelligence, Amazon S3, Systems Engineering, Cloud Computing, Computer Programming, Data Transmissions, Persistent Data Structure, Data Security, File Systems, Distributed Data Store, Distributed Systems, Systems Analysis, Network File Systems, Performance Tuning, Systems Development Life Cycle, Remote Direct Memory Access, Reliability Engineering, Prometheus, Software Engineering, Systems Architecture, System Programming, Ceph (Software), Graphics Processing Unit (GPU), Computer Network Operations, Cloud Platform System, Grafana, Kubernetes, Storage Technologies, Information Technology, Low Latency, Vertica, Multiplatform, Programming Languages - **Published:** August 10, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-engineer-storage-bellevue-wa--9b3084d0-033a-48ce-acbe-3d96d4e668f1 ## About the Role * Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. * 8-10+ years of experience working in storage systems engineering or infrastructure. * Strong hands-on experience with object storage or distributed filesystems in production environments. * Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. * Proficiency in a systems programming language such as Go, C, or Rust. * Proficiency leveraging AI tools to augment software development. * Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). * Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. * You love to grow and push the boundaries of your expertise * You're curious about distributed storage and the demands AI/ML workloads * You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems., Amazon Simple Storage Service (S3), Artificial Intelligence (AI), Best Practices, C Programming Language, Cloud Computing, Compensation Management, Computer Science, Cross-Functional, Customer Experience, Data Access Objects (DAO), Disability Insurance, Distributed Computing, Distributed Objects, File Systems, Flexible Spending Accounts, GPU (Graphics Processing Unit), Identify Issues, Life Insurance, Mentoring, Metrics, Multiplatform/Cross-Platform, NFS (Network File System), Network Operations Center, Performance Tuning/Optimization, Process Improvement, Product Development, Product Management, Production Systems, Programming Languages, Reliability Engineering, Reporting Dashboards, Scalable System Development, Software Development, Startup, Storage Software, System Architecture, Systems Analysis, Systems Engineering, Systems Scalability, Systems/Internals Programming, Team Player, Telemetry, Tuition Reimbursement ## Description * Design and Implement distributed storage solutions to support scaling data intensive AI workloads. * Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. * Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. * Lead efforts to improve the reliability, durability, security, and observability of our storage stack. * Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. * Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. * Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. * Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. * Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Building Systems that Last](https://www.wearedevelopers.com/videos/1389-building-systems-that-last) - [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) - [Hate organising your photos? 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