Platform Engineer – GPU Cloud Infrastructure

Location: Parramatta, NSW - office-based
Employment type: Full-time permanent
Remuneration: $95,000–$105,000 total package inclusive of superannuation
Additional benefits: ESOP participation may be considered
Start date: Within four weeks

## About OmegaAI

OmegaAI is an Australian technology company building infrastructure for AI and compute-intensive workloads.

We are seeking a Platform Engineer to help evaluate, integrate and support specialist GPU cloud
environments. You will work alongside experienced engineers, contribute to practical proof-of-concept
projects and help develop reliable automation and operational processes.

## Responsibilities

• Investigate and evaluate specialist GPU cloud services.
• Configure and maintain development and testing environments.
• Support proof-of-concept integrations and technical evaluations.
• Deploy and run containerised workloads.
• Collect and analyse logs, operational results and performance data.
• Develop infrastructure automation using tools such as Terraform, Ansible, Python or shell scripting.
• Monitor resource availability, health, utilisation and cost.
• Investigate failed workloads and escalate complex issues when necessary.
• Contribute to automated testing, code reviews and deployment processes.
• Produce clear technical documentation, runbooks and investigation reports.
• Follow secure practices for credentials, secrets and infrastructure access.
• Ensure temporary resources are tracked and removed when no longer required.
• Collaborate with engineering and product teams to deliver dependable platform capabilities.

## What We’re Looking For

• Practical experience in platform engineering, DevOps, systems administration, cloud infrastructure or software engineering.
• Strong working knowledge of Linux.
• Experience with Python, Bash or another scripting language.
• Familiarity with Git-based development workflows.
• Experience using Docker or other container technologies.
• Understanding of at least one public cloud or infrastructure platform.
• Exposure to infrastructure-as-code or configuration-management tools such as Terraform or Ansible.
• Fundamental understanding of networking, DNS, TLS and storage.
• Ability to work with APIs and troubleshoot integration problems.
• Strong attention to detail and an ability to operate controlled infrastructure safely.
• Clear written and verbal communication.
• An interest in GPU infrastructure, AI platforms or high-performance computing.

## Desirable Experience

Experience in any of the following would be advantageous but is not essential:

• Specialist GPU cloud or compute platforms.
• NVIDIA GPUs, CUDA or GPU-enabled containers.
• Kubernetes, Slurm or other workload-scheduling systems.
• Prometheus, Grafana or similar monitoring tools.
• CI/CD pipelines and automated testing.
• Object storage and large-scale data movement.
• REST API integrations.
• Secrets management and infrastructure security.
• Distributed computing, AI infrastructure or HPC projects.

## Security and Employment Requirements

Applicants must:

• Be an Australian citizen with current Australian working rights.
• Be eligible to obtain and maintain an Australian Government NV1 security clearance.
• Have a checkable personal and employment background.
• Be able to work from our Parramatta office.
• Be available to commence within four weeks.

An existing security clearance is desirable but not mandatory.

## Our Working Culture

This is not a role for someone seeking a comfortable position, minimal accountability or a place to simply collect a salary.

We are building a high-performance team where initiative, ownership, intellectual curiosity, reliability and a willingness to go beyond the minimum are essential. You will be expected to solve problems, take responsibility, continuously improve and contribute meaningfully without needing to be pushed.

If you are looking for a routine role where you can remain passive or simply follow instructions, this
opportunity is unlikely to be the right fit.

## What Success Looks Like

Within your first three months, you should be able to:

• Understand and follow our engineering and operational processes.
• Configure a controlled test environment using approved automation.
• Deploy a containerised workload and collect meaningful operational results.
• Monitor infrastructure health, utilisation and cost.
• Diagnose common workload and infrastructure failures.
• Contribute tested and reviewed automation changes.
• Produce clear documentation and operational runbooks.
• Demonstrate ownership by tracking tasks through to completion.
• Operate responsibly, including cleaning up temporary infrastructure and protecting credentials.

## What We Offer

• Practical experience with emerging GPU and AI infrastructure.
• Exposure to cloud platforms, automation and high-performance computing.
• Mentoring and support from experienced engineers.
• A clear pathway for professional and technical growth.
• Direct involvement in meaningful infrastructure projects.
• An office-based, collaborative engineering environment.
• ESOP participation may be considered for the right candidate.
• Structured performance reviews and development opportunities.

## How to Apply

Please submit your résumé together with a short explanation covering:

• Your experience with Linux, cloud infrastructure and automation.
• The programming or scripting languages you use.
• Your experience with containers, infrastructure-as-code or monitoring.
• A technical problem you investigated and how you resolved it.
• Why you are interested in GPU, AI or high-performance computing infrastructure.

Links to relevant GitHub repositories, personal projects or technical writing are welcome.

Work Location: In person