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Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most…
Designs, builds, and operates production-grade agentic AI applications that automate and optimize AI-factory operations across Firmus's Model-to-Grid platform. Day to day: building LLM agent orchestration, RAG pipelines, and tool integrations using Python, agent frameworks like LangGraph/LangChain, vector databases, and Kubernetes-based observability and evaluation tooling.
Owns the operational security of Firmus's large-scale GPU AI infrastructure: securing a multi-tenant Kubernetes estate (admission policy, workload identity, network policy), building eBPF-based runtime detection and enforcement, owning delivery-pipeline security gates, and acting as the senior escalation point for security faults on a 24/7 roster.
Hands-on senior engineer who runs Firmus's fleet-scale, multi-tenant Kubernetes estate underpinning AI FactoryOS and its AI Cloud — owning cluster lifecycle, control-plane recovery, GPU integration, tenant onboarding and the automation/remediation tooling that keeps it running 24/7. Core stack: Kubernetes internals, etcd, Go/Python, GitOps and NVIDIA GPU tooling.
Senior AI Product Manager at Firmus Technologies in Singapore, acting as the product-definition, delivery-planning, and release-execution lead for the AI & Applications team. Day to day this means owning the sprint-based roadmap for GPU cloud capabilities like workload orchestration, benchmarking, training/inference recipes, and agentic applications, using agile practices.
Infrastructure Automation Engineer, AI Cluster Commissioning Role is open for candidates with existing Australian working rights. These are the top requirements you must qualify for: 5+ years of experience developing…
Principal-level Kubernetes engineer designing and building production-grade cluster lifecycle, networking, storage, and automation for GPU-accelerated bare-metal AI infrastructure, primarily using Kubernetes, Go, and cloud-native tooling.
Senior Security Engineer joining Firmus's AI Platforms team to own platform security for its GPU cloud and managed Kubernetes service: hardening clusters, securing supply chain and IaC pipelines, and standardizing secrets, IAM, encryption and monitoring. Core stack: Kubernetes (Calico, Falco, Kyverno), Vault, Python/Go on Linux.
A senior, hands-on data engineer who owns Firmus's company-wide data architecture: real-time pipelines for GPU and cooling telemetry, the data lake for hardware failure prediction, AI-native agent layers, and governance/compliance. Core stack includes Kafka, Spark, Trino, ClickHouse, Delta Lake/Iceberg, dbt, Airflow, and Kubernetes on bare metal.
Principal Solutions Architect for AI Data Infrastructure at Firmus Technologies, owning architecture/evaluation/optimization of storage, memory, and caching systems for AI Factory and AI Cloud. Core technologies include NVMe, NVMe-oF, parallel/software-defined storage, low-latency fabrics (RDMA/RoCEv2/InfiniBand), and next-gen memory (CXL, disaggregation, KV-cache).
Owns and evolves the operational datastore platform behind Firmus AI Cloud and internal services — running PostgreSQL, caches, and NoSQL stores on bare-metal, self-hosted, and cloud infrastructure. Sets HA, backup, and scaling standards, automates provisioning with IaC, owns SLOs and on-call, and builds self-service 'paved road' tooling for product teams.
A Site Reliability Engineer supporting day-to-day operations of Firmus's AI-accelerated HPC (AI Factory) infrastructure in Melbourne: deploying and maintaining GPU, storage and network servers, handling firmware, first-line troubleshooting and on-call incident response. Core stack includes Linux, Bash/Python scripting, Kubernetes, Slurm, and observability tools like Prometheus and Grafana.
Owns application security for Firmus AI Cloud — its public APIs, multi-tenant control plane, and AI agents — by building CI/CD security gates (SAST, DAST, SCA, SBOM), leading threat modeling, shipping secure paved roads, and automating SOC 2/ISO 27001 evidence. Hands-on coding in Python, Go, or TypeScript.
Senior AI engineer building and running Firmus's self-hosted AI model inference platform on its GPU cloud — onboarding models, provisioning secure scalable endpoints, optimizing LLM serving performance (quantization, batching, parallelism), and benchmarking runtimes like TensorRT-LLM, vLLM, and Triton on NVIDIA CUDA/Kubernetes infrastructure.
Designs, builds, and operates a proprietary Kubernetes-native job scheduler that orchestrates training, fine-tuning, inference, batch, and agentic workloads across massive-scale GPU AI factories. The role is heavy on Go-based Kubernetes controller/scheduler engineering, topology-aware GPU placement (NVLink/NVSwitch, RDMA), and observability.
Owns end-to-end UX design and front-end delivery for Firmus's AI cloud products — the AI Cloud Portal, Global Operations Console, and Bare Metal/Kubernetes-as-a-Service offerings — turning complex GPU infrastructure, scheduling, benchmarking, and agentic operations into clear, trustworthy interfaces. Blends product design (Figma, design systems) with front-end engineering (React/TypeScript).