Product Engineer

<p></p> <p><strong>ABOUT NEXGEN CLOUD</strong></p> <p>NexGen Cloud is a fast-growing GPU cloud and AI infrastructure business. We’re the company behind Hyperstack — a self-serve, on-demand cloud platform built for high-performance AI, HPC, and compute-heavy workloads. Powered by 100% renewable energy and NVIDIA architecture, Hyperstack gives teams from AI startups to enterprise the compute they need, without the cost or complexity of legacy cloud.</p> <p>We move fast, solve hard problems, and build things that matter. If you want ownership, real impact, and a front-row seat to one of the most consequential infrastructure shifts of the decade — this is the place.</p> <p><strong>THE ROLE: PRODUCT ENGINEER</strong></p> <p>Our hardest problems don’t stay in one layer. A customer issue can start in a web app and end in a Kubernetes scheduler, a container runtime or a GPU driver. We need engineers who can build the products, APIs and tools our customers use, and who understand the systems underneath well enough to make them work reliably in production.</p> <p>This is a role for someone who takes a loosely defined problem, works out what the user actually needs, and owns the solution end to end. That means designing it, writing the code, shipping it, and debugging it when it breaks, without handing it off at the first layer boundary.</p> <p><strong>WHAT YOU’LL BE DOING</strong></p> <p>Rather than a checklist, here’s what success in this role actually looks like:</p> <ul> <li>Own and drive user-facing products end to end, including web apps, APIs, backend services and CLI tools, mostly in Go. You’ll ship the simplest useful version first, then improve it based on how people actually use it.</li> <li>Collaborate closely with Product, Engineering &amp; DevOps, Infrastructure &amp; Data Centre Operations, Security and Customer Support. You’ll turn real customer problems into practical solutions.</li> <li>Build and maintain Kubernetes-based services, controllers and platform capabilities. This includes GPU scheduling and container runtimes.</li> <li>Identify repetitive operational work and replace it with automation, so software handles it instead of people.</li> <li>Investigate production issues across application code, Kubernetes, containers, Linux, networking, drivers and hardware. Each incident should end in a lasting fix, a guardrail or better tooling.</li> <li>Design services that behave well under load and during failure. You’ll instrument them so anyone can debug them, and give them secure defaults from day one.</li> <li>Contribute ideas and take ownership beyond your core remit. That includes product decisions on workflow and interface, such as whether a problem is best solved with a CLI, an API or a web experience.&l