HPC Data Center Developer

The ideal candidate will have strong, hands-on experience with Golang and a proven track record of automating physical hardware and infrastructure at scale., * Strong professional experience developing software in Golang. \n

• Demonstrable experience automating physical hardware or data-centre infrastructure. \n

• Experience building production automation for server, GPU, network, storage, power or cooling systems. \n

• Strong Linux and systems engineering knowledge. \n

• Understanding of server components, rack-scale infrastructure and data-centre operations. \n

• Experience developing reliable, scalable and observable production systems. \n

• Ability to work effectively with infrastructure, hardware and operations teams. \n

• Strong troubleshooting, debugging and problem-solving skills. \n, * Experience supporting HPC, AI/ML, GPU or high-density compute environments. \n

• Experience with data-centre hardware such as GPUs, servers, switches, rack PDUs, CDUs and environmental monitoring systems. \n

• Knowledge of Kubernetes, Slurm or other cluster-management and workload-orchestration technologies. \n

• Experience with Python, Bash or another systems programming language. \n

• Familiarity with configuration management, infrastructure as code and CI/CD. \n

• Experience with Prometheus, Grafana or other observability platforms. \n

• Exposure to power, cooling and data-centre capacity planning. \n

• Experience in a high-availability, trading, cloud, hyperscale or other performance-critical environment. \n, This role would suit a software engineer, infrastructure developer, systems engineer or data-centre automation engineer who enjoys working close to the hardware.

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• Design, develop and maintain production-grade automation in Golang. \n

• Automate the full lifecycle of HPC data-centre hardware, from initial discovery and provisioning through to deployment, monitoring, maintenance and decommissioning. \n

• Build workflows for servers, GPUs, network switches, rack PDUs, CDUs, environmental sensors and related infrastructure. \n

• Develop end-to-end processes that take hardware from racked and cabled through configuration, validation and production readiness with minimal manual intervention. \n

• Integrate with hardware management interfaces, APIs and protocols such as Redfish, IPMI, SNMP and vendor-specific platforms. \n

• Build tooling for hardware health monitoring, diagnostics, alerting and automated recovery. \n

• Integrate telemetry from compute, networking, power, cooling and environmental systems into centralised monitoring platforms. \n

• Support capacity planning across power, cooling, rack space, networking and compute resources. \n

• Develop operational tools for inventory management, spares, change management, troubleshooting and hardware lifecycle tracking. \n

• Work closely with HPC engineering, data-centre operations, network, systems and infrastructure teams. \n

• Translate manual operational processes and pain points into reliable, maintainable automation. \n

• Own the reliability, documentation and ongoing improvement of the systems and tools you develop. \n

• Support large-scale infrastructure deployments, maintenance activities and production incidents when required. \n

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