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About the Role
We are seeking a Product Engineer who can build user-facing products, APIs, and tools, and understand the underlying systems to ensure production reliability. This role is for an individual who can take a loosely defined problem, determine user needs, and own the solution from design and coding to shipping and debugging.
Responsibilities
- Own and drive user-facing products end to end, including web apps, APIs, backend services and CLI tools, mostly in Go.
- Ship the simplest useful version first, then improve it based on user feedback.
- Collaborate with Product, Engineering, DevOps, Infrastructure, Data Centre Operations, Security, and Customer Support to turn customer problems into practical solutions.
- Build and maintain Kubernetes-based services, controllers, and platform capabilities, including GPU scheduling and container runtimes.
- Identify and automate repetitive operational tasks.
- Investigate production issues across application code, Kubernetes, containers, Linux, networking, drivers, and hardware, implementing lasting fixes, guardrails, or improved tooling.
- Design services that perform well under load and failure, with comprehensive instrumentation for debugging and secure defaults.
- Contribute ideas and take ownership beyond the core remit, including product decisions on workflow and interface.
Requirements
- Strong professional experience building, debugging, and operating production software in Go, or deep experience in another systems language with a demonstrated ability to become productive in Go quickly.
- Hands-on experience with Kubernetes and containers, including workload scheduling, service communication, and troubleshooting.
- Confidence in Linux environments, including systemd, processes, signals, filesystems, permissions, networking, and CPU/memory diagnostics.
- A track record of personally designed and built systems, products, or tools.
- Solid engineering fundamentals in concurrency, API/interface design, and failure modes.
- Practical experience troubleshooting production systems using logs, metrics, and system-level tooling.
- Familiarity with the NVIDIA GPU ecosystem (drivers, CUDA, nvidia-smi, GPU-enabled container runtimes, Kubernetes GPU scheduling) is a plus.
- Experience with distributed and event-driven systems (queues, retries, idempotency, backpressure) is beneficial.
- Practical networking knowledge (DNS, TCP/IP, HTTP, load balancing) is helpful.
- Experience building Kubernetes controllers or operators, or developer tooling for other engineers, is a plus.
- A security-minded approach to auth, secrets, and attack surfaces is a plus.
Skills
- Go
- Kubernetes
- Containers
- Linux
- Systemd
- API design
- Interface design
- Concurrency
- Troubleshooting
- Logging
- Metrics
- System-level tooling
- Distributed systems
- Event-driven systems
- Networking
- NVIDIA GPU ecosystem
- CUDA
- nvidia-smi
- GPU-enabled container runtimes
- Kubernetes GPU scheduling
- Kubernetes controllers
- Kubernetes operators
- Developer tooling
- Security
Location
- Remote
- Hybrid
Work Type
- Full-time
Experience Level
- Professional experience
Salary/Compensations
- Competitive salary and annual discretionary bonus scheme
Benefits
- Employee wellbeing benefits
- 25 days holiday, plus public holidays
- Private Medical Insurance
- Enhanced Pension Scheme
- Flexible working arrangements
About the Company
- NexGen Cloud is a fast-growing GPU cloud and AI infrastructure business.
- We are the company behind Hyperstack — a self-serve, on-demand cloud platform built for high-performance AI, HPC, and compute-heavy workloads.
- Hyperstack is powered by 100% renewable energy and NVIDIA architecture.
- Hyperstack provides AI startups to enterprises with necessary compute without the cost or complexity of legacy cloud.
- We move fast, solve hard problems, and build things that matter.
- We offer ownership, real impact, and a front-row seat to a consequential infrastructure shift.
Equal Opportunity
- We welcome applications from all backgrounds.