About the role
We are hiring a Platform Engineer for our Engineering Infrastructure team, the operational backbone of SQC's engineering and R&D organisation. This team runs the compute clusters, CI/CD pipelines, and internal tooling that every team in the company depends on, from physicists running atom-scale simulations to software engineers shipping our quantum products.
The infrastructure covers a lot of ground. On any given day you might be tuning an HPC cluster running simulation workloads, maintaining GitHub Enterprise and CI pipelines across multiple products, or standing up new tooling on Kubernetes for a research team that needs compute at short notice. Our users range from theorists to hardware engineers, so the work stays varied and technically demanding.
This is a hands-on role at the intersection of HPC, DevOps, and R&D support, in one of the most technically ambitious companies in Australia. You will do more than maintain what exists. You will help shape the platform's direction as we scale, working directly alongside the people building fault-tolerant quantum computers from silicon.
Role responsibilities
- Own and operate our HPC compute clusters (on-prem and cloud) for simulation and quantum circuit workloads
- Build and maintain CI/CD pipelines across multiple products and toolchains (GitHub Enterprise, automated testing, deployment)
- Manage internal application platforms and dev tooling on Kubernetes (Ansys, Sonnet, and our compute platform)
- Support physics and research teams in accessing and getting the most from compute resources
- Monitor platform health, respond to incidents, and drive reliability improvements
- Develop infrastructure-as-code practices that improve consistency and speed up onboarding
Your experience
Essential:
- 3+ years in platform, DevOps, or infrastructure engineering
- Strong Docker and Kubernetes
- Strong Linux administration and scripting (Bash, Python)
- Infrastructure-as-code (Terraform, Ansible, or equivalent)
- CI/CD tooling (GitHub Actions, Jenkins, or equivalent)
- Hands-on with HPC or compute cluster environments
- Core networking services (DNS, DHCP, NTP)
- Strong troubleshooting across complex, multi-system environments, and clear communication with technical teams across the business
Nice to have:
- Scientific or research computing experience
- Monitoring and telemetry tooling (Prometheus, Grafana, Datadog)
- Other IaC or config tooling (Pulumi, Chef, Puppet)
- Broader networking infrastructure
- Exposure to Ansys or similar simulation environments
- Curiosity about quantum computing (no physics degree required)
