Senior Platform Engineer

7 days ago

Sydney, New South Wales, Australia Paxus Full time $120,000 - $180,000 per year

Are you an experienced platform engineer with deep AWS knowledge and a passion for supporting machine learning at scale? One of Australia's leading client is looking for a Senior Platform Engineer to join their MLOps team, working in a cross-functional squad that supports the deployment of ML models into production environments.

This is an exciting 12-month contract (with strong potential for extension) where you'll act as a technical expert and trusted advisor for data science teams. You'll help ensure their models are production-ready and seamlessly integrated into robust, secure, and scalable infrastructure.

About the Team:

You'll be embedded within the Deployment Integration squad - a professional services-style team that partners with a wide range of business units. Some groups need just light-touch code reviews, while others require full end-to-end guidance to get their models live. You'll work hands-on with AWS SageMaker, driving best practices in engineering and deployment, and contribute to the ongoing evolution of the bank's machine learning platform.

What You'll Be Doing:

  • Collaborate with data science teams to move models from development to production in AWS SageMaker
  • Lead and execute on production-level deployment tasks, including containerisation, infrastructure automation, and system integration
  • Improve the overall ML platform by building self-service and scalable capabilities
  • Design and manage CI/CD pipelines and contribute to DevSecOps initiatives
  • Work closely with stakeholders of varying technical skill levels, adapting your support approach accordingly

What We're Looking For:

  • Proven hands-on experience with AWS services, particularly Amazon SageMaker
  • Strong skills in containerisation (e.g., Docker, Kubernetes) and Infrastructure as Code (e.g., Terraform, CloudFormation)
  • Background in CI/CD automation, cloud security, and performance tuning for ML workloads
  • Experience working in MLOps or ML engineering roles, ideally in large-scale or enterprise settings
  • Familiarity with DevSecOps tools (e.g., Snyk or similar)
  • Strong interpersonal and stakeholder engagement skills - able to work effectively in a customer-facing, consultative environment
  • Ability to mentor others and provide technical leadership within the team

To apply, please reference job number #271585

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Aditi Yadav on or email: and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.

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