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, operation, and continuous improvement. Qualities we look for: Set the standard: Every single day, you spot opportunities to constructively shake things up Inspire the change: There's no blueprint for the future. You'll embrace challenges and change You're real and you're true to yourself: We cherish and celebrate diversity so you'll feel right at home whoever you are and whoever you're talking to, you treat everyone the same. Why should you join us? What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. Here are just some of the great things you can expect from us: 25 days of annual leave A culture that emphasises results over hierarchy, process & ego: we place great emphasis on the quality, ingenuity and creativity of work. Open communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together. Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job. Health & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa. Cycle to Work Scheme: we're committed to building a sustainable business, so we encourage cycling to work. Gympass subscription to a variety of gyms and wellbeing apps Participation in the company shares program Enhanced parental pay & leave Our process: Talent screen → Hiring Manager → Technical interview (two Senior Engineers) → Final. Company Overview: Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure — from powered land, to compute, to software. As we scale, we're building this organisation from the ground up. We're looking for people who'd rather build the playbook than inherit one — who are comfortable doing the work themselves as well as directing others, and who can adapt as fast as our strategy does. This is a startup model: attitude and adaptability matter more to us than years of experience or the size of the team you've previously managed.