Senior Platform Engineer, Monitoring & Telemetry

Silicon Quantum Computing Pty Ltd; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Silicon Quantum Computing Pty Ltd in Sydney is seeking a Platform Engineer to own monitoring and telemetry across on-prem clusters, Ceph storage, core network services, the HPC and simulation environments, the quantum runtime cluster and its FPGA mesh, AWS footprint and on-site shipping clusters.

The role focuses on observability to drive real decisions, with a preference for reducing noisy alerts and ensuring reproducibility of workloads for researchers and engineers instrumenting their own

Qualifications

• Own the observability stack end-to-end with metrics, logs, traces and alerting.
• Experience with Prometheus/Grafana at scale and long-term storage.
• Production log pipelines with Loki or OpenSearch/ELK.
• OpenTelemetry and distributed tracing in real systems.
• Alerting design with on-call ownership and low-noise signals.
• Kubernetes depth including workloads, networking, storage, RBAC.

Responsibilities

• Own the monitoring and telemetry platform end to end across clusters, storage, network and cloud.
• Instrument platform services including Kubernetes, Ceph, CI/CD, GitHub Enterprise, Artifactory and Vault.
• Make utilisation visible to inform scheduling and hardware purchases.
• Design alerts with specific actions and retire noisy alerts.
• Support observability needs of the quantum runtime cluster, including FPGA telemetry.
• Extend monitoring to each cluster, including air-gapped sites.
• Handle data engineering of observability at scale: cardinality, sampling, retention and cost.
• Define and measure service levels for internal platform services.
• Build on-call tooling and runbooks, and improve them after incidents.
• Help teams instrument their systems with libraries, conventions and defaults.
• Correlate telemetry across domains to answer cross-cutting research questions.
• Support incident response and post-incident reviews and document platform conventions.

Skills

Observability ownership

Kubernetes

Python

Linux administration

OpenTelemetry

Tools

Prometheus

Grafana

Thanos

Mimir

VictoriaMetrics

Loki

OpenSearch

ELK

Vector

Fluent Bit

Terraform

OpenTofu

Argo CD

Flux

Ceph monitoring

HPC observability

GPU telemetry

IPMI/Redfish telemetry

Slurm accounting

AWS observability

Grafana plugin development

Job description

Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.

Backed by over 25 years of technological excellence, SQC is a full-stack quantum computing company that leverages its proprietary manufacturing process to engineer atomic qubits in silicon with 0.13 nanometer precision. It is the most precise semiconductor manufacturing in the world, enabling systems with world-leading algorithmic fidelity, and a decisive advantage in the global quantum computing race.

Our products are commercially deployed and generating revenue. Watermelon, our quantum-enhanced AI system, is delivering superior results on real-world problems across energy, telecom and finance. Quantum Twins, our simulation platform, provides unparalleled ability to model quantum systems, accelerating molecule and materials discovery.

This is SQC: building the future of computing while delivering quantum impact today.

About The Role

We are hiring a Platform Engineer to own monitoring and telemetry in Platform & Infrastructure. The scope is everything the team runs: the Kubernetes clusters from small local sites to the central cluster, Ceph storage, core network services, the HPC and simulation environments, the quantum runtime cluster and its FPGA mesh, our AWS footprint, and the cluster that ships with each quantum computer.

The workloads are not a web estate. An FPGA synthesis run takes hours and holds a licence while it does. A simulation job may need to be reproducible years later. The realtime control plane cares about microsecond jitter rather than request percentiles. A physicist will want to correlate a device measurement with a calibration run and a cluster event, so telemetry from unrelated systems has to be joinable.

Compute is on-premise and finite. Utilisation numbers decide where the next hardware spend goes and which team is under-served, so they end up in procurement and scheduling decisions. You own the platform and set the practice: the conventions other teams instrument against, and alerting an on-call engineer acts on without checking it twice.

Based at our Sydney facility, you will work alongside the platform and infrastructure engineers who run the estate, and with the research teams instrumenting their own work. This is a role for someone who wants observability to carry real decisions, and who would rather retire a noisy alert than tune it out.

Role Responsibilities

• Own the monitoring and telemetry platform end to end: metrics, logs, traces and alerting across clusters, storage, network and cloud
• Instrument the platform services the team runs, including Kubernetes, Ceph, the CI/CD platform, GitHub Enterprise, Artifactory and Vault
• Make utilisation and capacity visible and trustworthy, so scheduling decisions and hardware purchases rest on measurement
• Design alerting that names a specific action and keeps noise low, and retire alerts that no longer prompt one
• Support the quantum runtime cluster’s observability needs, including high-rate telemetry from the FPGA mesh, without disturbing the realtime path
• Extend monitoring to every cluster we build, one per quantum computer, including air-gapped sites where telemetry cannot leave the building and has to be useful to whoever is standing next to it
• Handle the data engineering of observability at scale: cardinality, sampling, retention and the cost of keeping it
• Define and measure service levels for internal platform services, and report against them
• Build the on-call tooling and runbooks, and improve them after every incident
• Help other teams instrument their own systems, and provide the libraries, conventions and defaults that make that easy
• Correlate telemetry across domains, so a research question spanning device, cluster and job data can be answered
• Support incident response and post-incident review across the platform, and document the platform, its conventions and its limits, so observability does not depend on knowledge held by one person

Your experience

• 5+ years in platform, infrastructure or site reliability engineering, with direct ownership of an observability stack
• Prometheus and Grafana at scale, including long-term storage with Thanos, Mimir, VictoriaMetrics or an equivalent
• Log pipelines in production: Loki, OpenSearch or ELK, with a shipper such as Vector or Fluent Bit
• OpenTelemetry, and distributed tracing in a real system rather than a demo
• Alerting and on-call design, including direct on-call responsibility for systems you instrumented
• Production Kubernetes depth: workloads, networking, storage, RBAC, operators and the failure modes of each
• Strong Linux systems administration, with Python and Bash
• Infrastructure-as-code and GitOps: Terraform or OpenTofu, with Argo CD or Flux
• High-cardinality time series in practice, and the retention and cost decisions that come with it
• Capacity planning on finite on-premise hardware
• Clear technical writing, and the ability to support researchers and engineers instrumenting their own work

Nice to have

• Ceph monitoring and troubleshooting at the cluster level
• Network telemetry: SNMP, flow data, switch and fabric monitoring, DHCP and DNS visibility
• HPC and batch scheduler observability, including Slurm job accounting
• GPU telemetry, such as DCGM, and accelerator utilisation reporting
• eBPF-based tooling for host and kernel visibility
• Hardware and out-of-band monitoring: IPMI, Redfish, environmental and power telemetry
• Realtime or hard-deadline systems, where jitter matters more than throughput
• Laboratory or scientific instrument telemetry, and joining it to infrastructure data
• Monitoring a fleet of similar installations rather than a single estate, including sites with no outbound network
• AWS observability and cost visibility
• Incident management practice, including running blameless reviews
• Grafana dashboard and plugin development, or building internal observability tooling

Equal opportunity

SQC is an equal opportunity employer. We value diverse perspectives and experiences, and encourage applications from candidates who may not meet every listed requirement. If you’re excited about the role and believe you can contribute, we encourage you to apply.

Export controls

This position may require access to export-controlled information or technology. Employment may be subject to applicable export control laws and may require eligibility assessment based on factors such as nationality, citizenship, or residency, and, where necessary, obtaining relevant export licenses or approvals.

About SQC

SQC was founded by renowned physicist and materials scientist Michelle Simmons, who pioneered the field of atomic electronics, including the development of the world’s first single-atom transistor and the first integrated circuit built with atomic precision. Our Chair, Simon Segars, former CEO of Arm, is a leader in the semiconductor industry and was instrumental in developing the processors that powered the mobile computing revolution.

As a full-stack company with in-house QPU manufacturing, SQC can design, produce and test new quantum chips in under a week, enabling rapid iteration and a decisive advantage in the race to build the world’s first commercial-scale quantum computer.

SQC is a high-accountability environment built on a simple principle: Every Atom Counts. If you’re looking to play a meaningful role in building the next frontier of computing, we’d love to hear from you.