Remote ML Platform Engineer | CI/CD, Cloud & DevSecOps

Metacognition; Australia; Remote; AUD 130,000 - 190,000; Full time

Benefits offered by this job

Remote working

Job summary

Metacognition is seeking an ML Platform / DevOps Engineer to design, secure and maintain cloud infrastructure for large-scale AI training, inference and evaluation platforms. You will enable research and engineering teams with automated environments, scalable pipelines and governance to ship software rapidly and safely.

Role scope aligns with candidate experience, offering a hands-on blend of software engineering and cloud operations across development and production environments.

Qualifications

• Proven experience in ML platform engineering and DevOps.
• Experience running ML training/serving at scale.
• Expertise with GitHub and GitHub Actions for CI/CD.

Responsibilities

• Build and automate development environments for AI, data and app development.
• Design and implement CI/CD pipelines and deployment patterns (GitHub Actions).
• Develop reusable infra templates and automation for rapid environment creation.
• Establish access controls, governance and guardrails across environments.
• Integrate GitHub with cloud services and supporting platforms.
• Embed security, compliance and operational controls into platform delivery.
• Create reusable platform components adopted across teams.

Skills

ML platform engineering

DevOps

GitHub Actions

Cloud platforms (AWS/GCP)

Infrastructure as Code (Terraform, Pul

Tools

GitHub

Terraform

Pulumi

Kubernetes

Job description

Metacognition is seeking an ML Platform / DevOps Engineer to design, secure and maintain cloud infrastructure for large-scale AI training, inference and evaluation platforms. You will enable research and engineering teams with automated environments, scalable pipelines and governance to ship software rapidly and safely.

Role scope aligns with candidate experience, offering a hands-on blend of software engineering and cloud operations across development and production environments.