Senior Platform Engineer

Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure from model to grid. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. This co-designed approach from model to grid allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Why you’ll love working here At Firmus, you’ll work at the intersection of sustainability and artificial intelligence in a fast-paced environment powered by next-generation technology. You’ll be helping to transform an entire industry — and you’ll feel it every day. Our team is made up of true innovators and leaders in their fields, and as an emerging company, you won’t be lost in a crowd. You’ll work closely with the founders, build a strong network, and see the impact of your work first-hand as we democratise AI tools for everyone — more sustainably and more affordably. We believe great things happen when people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer. ROLE Firmus Technologies is seeking a Senior Platform Engineer to join our Engineering and Technology team. You will drive the design and implementation of our MLOps capability. You will also collaborate with other engineers and make technical decisions on scaling Firmus AI factory platform engineering capabilities to planet scale, from IaC, container orchestration, observability, self-service portal to platform security. This role is ideal for a self-starter with passion for building things from first principles. You naturally break down complex problems into their fundamental truths to uncover novel and elegant solutions - rather than relying on conventional patterns. KEY RESPONSIBILITIES • Build MLOps capabilities from the ground up, enabling reproducible, scalable, and secure ML workflows across internal and customer-facing environments. • Continuously improve our DevOps platform to ensure reliability, scalability, security, and seamless integration with CI/CD pipelines and infrastructure services. • Design, implement, operate and secure Kubernetes-based production infrastructure for high reliability, performance and security, including clusters supporting NVIDIA GB300 NVL72 systems with NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet. • Develop world-class observability platforms for internal and external customers • Integrate Firmus central services with NVIDIA’s software stack, including Mission Control, NETQ, UFM, and NMX. • Lead the enhancement and evangelism of internal platform products that provide cohesive, composable, secure-by-default, and low-friction self-service experiences that accelerates time to market and reduce engineers' cognitive load. • Drive incident response efforts, participate actively in the on-call rotation, and lead detailed Root Cause Analysis (RCA) to continuously improve system reliability, operational maturity, and incident handling processes. SKILLS AND EXPERIENCE • Bachelor's degree in computer science or a related technical field. • 7+ years of experience as Platform Engineer, Site Reliability Engineer, DevOps engineer, MLOps Engineer or Observability Engineer. • Demonstrated strong proficiency on the following areas: • Infrastructure-as-Code, configuration management and CI/CD (e.g., Terraform, Ansible, GitHub Actions, Jenkins, ArgoCD). • Containerization technologies (e.g., Docker), Kubernetes networking and cluster management, including upgrades and troubleshooting. • Observability stack design and scaling (e.g., Loki, Grafana, Tempo, Prometheus, Thanos, ClickHouse). • Telemetry solutions using various technology (e.g., Redfish, gNMI, SNMP, eBPF, streaming analytics). • Unified telemetry collection with OpenTelemetry. • Compliance automation (e.g., OPA, Kyverno). • Competent in scripting and programming skills (e.g., Bash, Python, Go). • Systems knowledge on Linux internals, networking stacks, and distributed storage. • Clear and effective English communication, written and spoken. • Bonus: Experience in high-growth startups or regulated industries with robust security and data privacy requirements, including SOC 2 Type 2 and ISO 27001.