TrellisData is a fast-growing Australian sovereign-AI leader that powers high-security organisations across defence, logistics and law-enforcement. Our productAgentaus(Agentaus.com.au) is Australia's AI capability leading the country and the region in AI Chat, Agents, and API connectivity. Our mission is to deliver world-leading AI that is trusted and protected for our customers. We champion a culture of curiosity, collaboration and rapid impact, where every voice can shape the future of secure AI.
About the role
We are looking for a talented Engineer with practical DevOps experience to join our growing technology team.
You will help design, build and deploy AI-powered products that solve meaningful, real-world problems. This is a hands-on role covering the full development lifecycle—from experimenting with AI models and building production-ready applications to deploying, monitoring and improving them in the cloud.
The ideal candidate is a strong programmer who understands modern AI technologies and is also comfortable working with cloud infrastructure, automated deployments and production systems.
You will help us plan, build, and maintain the physical and virtual infrastructure underpinning our platforms. This is a genuinely hybrid role: half the job is software - automation, capacity planning, monitoring, infrastructure-as-code - and half is hands-on - racking servers, shucking drives, installing GPUs, and physically moving hardware between racks and sites. If you like the idea of writing the Terraform that provisions a storage pool and then also being the person who walks over, opens the chassis, and swaps the drive in, this role is for you. You'll work closely with the CTO (and, as the team grows, an Engineering Manager) to keep our compute, storage, and networking infrastructure reliable, secure,



and ready to scale.
Key responsibilities
Design, build and maintain AI-powered applications and features
Integrate large language models and other machine-learning services into our products
Develop reliable APIs, backend services and data-processing pipelines
Work with prompt engineering, retrieval-augmented generation and AI agents
Evaluate AI outputs for accuracy, reliability, security and performance
Deploy and manage applications in cloud environments
Build and maintain CI/CD pipelines and deployment workflows
Use containers and infrastructure-as-code to create consistent environments
Monitor system health, investigate issues and improve application performance
Work closely with product, engineering and leadership teams to turn ideas into production-ready solutions
Contribute to technical decisions, documentation and development standards
Build and maintain infrastructure-as-code for provisioning and configuration
Operate and improve our container orchestration setting (Docker Swarm)
Contribute to storage architecture and capacity planning (ZFS, NVMe pools, MinIO, forecasting growth)
Write scripts and tooling (Python/Bash/Go) to automate infrastructure tasks
Support monitoring, alerting, and observability for infrastructure health
Assist with CI/CD pipeline infrastructure and deployment tooling
Rack, cable, and configure servers, storage arrays, and GPU hardware
Physically install, remove,



and shuck drives; handle component-level hardware work
Move and relocate hardware between racks, rooms, or sites as needed
Diagnose hardware faults and coordinate with vendors on RMAs and repairs
Follow physical security and handling procedures appropriate to an ISO *****-certified environment
serving government and defence customers
Nice to have
Exposure to Proxmox/ESXi virtualisation
Familiarity with Tailscale or other zero-trust networking
Interest in AI/ML infrastructure (GPU inference stacks, vLLM, etc.)
Exposure to compliance-driven environments (ISO *****, PSPF, or similar)
Home lab or personal infrastructure projects - we love to see this
What we're looking for
Strong programming skills in Python
Experience developing production software, APIs or backend services
Practical experience working with generative AI, machine learning or large language models
Familiarity with leading AI platforms, APIs and open-source models
Working knowledge of Docker, Code version control and CI/CD tools
Understanding of secure software development, testing and monitoring
Strong problem-solving skills and attention to detail
The ability to communicate technical ideas clearly and work collaboratively
A practical, curious mindset and enthusiasm for learning current technologies
Highly regarded
Experience with container orchestration platforms
Experience with vector databases, embeddings and retrieval-augmented generation
Experience with AIOps, model evaluation or model-monitoring practices
Experience building secure applications for government, defence and/or high security industries
Knowledge of data engineering, cybersecurity or scalable cloud architecture
#J-*****-Ljbffr

📌 Ai Programmer/ Engineer (Canberra)
🏢 Trellis Data
📍 Canberra