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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Storage Engineer II, File & Block - **Company:** Coreweave, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $165,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** File Systems, Distributed Data Store, Distributed Systems, Protocol Buffers, General Parallel File Systems, InfiniBand, Key Management, Posix, Remote Direct Memory Access, Prometheus, Service Design, Weka, Workflow Management Systems, Ceph (Software), Graphics Processing Unit (GPU), Grafana, Caching, Backend, Kubernetes, Storage Technologies, Information Technology, Low Latency, Machine Learning Operations, Vertica, Block Storage - **Published:** July 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=afec38def149f979 ## About the Role * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 6-10 years building storage systems, distributed systems, or infrastructure services. * Strong hands-on experience with distributed or networked file systems and/or block storage in production - e.g., NFS/POSIX file semantics at scale, and/or block volume services (durability, snapshots, replication). * Depth in the storage data path: IO performance, caching, small-file and metadata-heavy workloads, crash consistency, and resilience under load. * Experience with multi-tenant services or storage control planes - provisioning, tenancy/quota, and data-protection features (snapshots, encryption, key management). * Proficiency in a systems/back-end language - Go strongly preferred (C or Rust a plus). * Experience building on Kubernetes - controllers/operators, CRDs, and CSI (dynamic provisioning, resize, snapshots, RWO volumes). * Familiarity with distributed databases (e.g., CockroachDB), workflow orchestration (e.g., Temporal), and gRPC/Protobuf service design. * Ideally, experience with distributed or parallel storage stacks such as Ceph/RBD, Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA, VAST, or DAOS. * Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). * Bonus: exposure to high-performance data-path technologies (RDMA, GPUDirect Storage, RoCE, InfiniBand, SPDK). * Strong debugging and problem-solving skills in distributed, high-performance environments. * Clear communicator, able to work collaboratively across teams and share technical insights effectively. ## Description Design, build, and operate highly scalable, multi-tenant file and block storage - from the data path (NFS for file; durable, high-performance block volumes) to the control plane that governs tenancy, provisioning, and data protection - running natively on CoreWeave's storage fleet and delivered through Kubernetes. * Own the file system data path: NFS hot-path reliability, IO resilience, and performance - including the small-file / IOPS-heavy workloads that AI pipelines depend on, and the throughput that keeps GPUs fed. * Build a native block storage service: durable, high-performance block volumes for customer workloads and internal stateful services - the third leg of the file/object/block triad, running on our own data path and shared storage hardware. * Deliver both file and block as first-class Kubernetes citizens: design and ship a backend-neutral CSI driver with dynamic provisioning, resize, snapshots, and RWO block volumes, backed by a public provisioning SLO - reusing shared control-plane and CSI patterns across file and block rather than rebuilding per service. * Build the control plane: multi-tenant isolation, quota, QoS, snapshots, key management (BYOK), audit, and lifecycle policy - the capabilities that unblock regulated and enterprise customers (e.g., encryption in transit, HIPAA controls). * Improve the reliability, durability, and observability of the storage stack; partner with operations to monitor, analyze, and optimize using telemetry, metrics, and dashboards to improve performance, latency, and resilience. * Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage across the stack, including tiering cold data to lower-cost object storage while preserving access. * Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. * Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency. * Participate in efforts to improve the reliability, durability, and observability of our storage stack. * Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, 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., * Build a native block storage service: durable, high-performance block volumes for customer workloads and internal stateful services - the third leg of the file/object/block triad, running on our own data path and shared storage hardware. * Deliver both file and block as first-class Kubernetes citizens: design and ship a backend-neutral CSI driver with dynamic provisioning, resize, snapshots, and RWO block volumes, backed by a public provisioning SLO - reusing shared control-plane and CSI patterns across file and block rather than rebuilding per service. * Build the control plane: multi-tenant isolation, quota, QoS, snapshots, key management (BYOK), audit, and lifecycle policy - the capabilities that unblock regulated and enterprise customers (e.g., encryption in transit, HIPAA controls). * Improve the reliability, durability, and observability of the storage stack; partner with operations to monitor, analyze, and optimize using telemetry, metrics, and dashboards to improve performance, latency, and resilience. * Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage across the stack, including tiering cold data to lower-cost object storage while preserving access. * Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. ## Related Videos - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Using WebAssembly to run, extend, and secure your application](https://www.wearedevelopers.com/videos/652-using-webassembly-to-run-extend-and-secure-your-application) - [On developing smartphones on wheels](https://www.wearedevelopers.com/videos/258-on-developing-smartphones-on-wheels) - [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) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) ## Related Articles - [What does the history of data storage tell us about the future?](https://www.wearedevelopers.com/magazine/495-what-does-the-history-of-data-storage-tell-us-about-the-future) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)