Senior Software Engineer - Storage

What You'll Do As a Senior Software Engineer - Storage, you will design, build, and operate the storage services and data capabilities that run demanding cloud and AI workloads at scale on Radiant's platform. You'll work across object, block, and file storage, data lifecycle, performance, resilience, APIs, and platform integrations. You'll partner closely with product, infrastructure, SRE, networking, and security teams, and with customers running the most demanding storage workloads. This is a hands-on engineering role. You'll own significant parts of the storage platform from design through production, working alongside our Principal Engineers on its architecture.   Key Responsibilities Design, build, and own components of Radiant's storage services, and contribute to the architecture and technical designs for the platform. Build storage systems across object, block, and file, including control plane and data plane services and their integration with existing Radiant services. Turn product and customer requirements into well-designed APIs and implementations, working with the Storage Product Manager and Principal Engineers. Deliver against the performance, durability, availability, and consistency targets of the storage platform. Profile, benchmark, and tune throughput, latency, and IOPS for AI training, inference, and other data-intensive workloads. Build integrations between storage and compute, Kubernetes (CSI), networking, IAM, observability, and developer tooling. Build for failure through replication, snapshots, data protection, failure recovery, and safe upgrades at scale. Take part in on-call and operational work with SRE, including capacity planning, observability, incident response, and post-incident improvements. Contribute to engineering standards through design and code review, and support less experienced engineers.   Your Profile Solid experience building and operating distributed storage systems or storage-heavy cloud infrastructure. Experience owning significant components end to end, from design through production and operation. Strong hands-on engineering skills in one or more systems languages such as Go or similar. Strong technical knowledge across several of: Storage: object, block, and file storage, snapshots, replication, erasure coding, caching, tiering, data lifecycle Protocols & interfaces: S3, NFS, SMB, CSI, NVMe/NVMe-oF, RDMA, POSIX semantics, storage APIs Infrastructure: Kubernetes, containers, high-performance networking, GPU clusters, cloud platforms Reliability: durability, availability, consistency models, consensus, failure recovery, data integrity Observability & security: metrics, logging, tracing, IAM, encryption at rest and in transit, auditability Experience with technologies such as WEKA, VAST, DDN, Lustre, Ceph, MinIO, Pure Storage, or similar. Familiarity with AI and HPC storage patterns, such as large-scale training data pipelines, checkpointing, and high-throughput parallel file systems. Able to reason about trade-offs between performance, durability, availability, cost, and operational complexity. Clear written and verbal communication, including design documents and explaining trade-offs to your team and stakeholders. Comfortable working with customers on technical problems.   What You Bring Storage domain expertise: Understand how storage architecture affects application and workload performance, down to the hardware. Engineering excellence: Write well-tested, maintainable code and give thoughtful code reviews. Sound judgement: Make careful design decisions on systems where data loss is not an option. Collaboration: Work closely with Principal Engineers, product, SRE, and other teams, and help the engineers around you grow. Systems thinking: Understand how storage interacts with compute, networking, and the rest of the cloud platform. Ownership: Drive storage capabilities from design through production, opera