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DevOps Engineer

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Onsite

DevOps Engineer

Change Recruitment

DevOps Engineer

Skills

PythonGitLabBitbucketAIAnsibleGitHubLinuxKubernetes

23 days ago

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Important information


Contract type:

Permanent

Salary:

A$130,000 – A$150,000 / year

Location:

North Sydney NSW 2060, Australia

Work mode:

Onsite

Published on:

28 September 2026

What they need


Senior DevOps Engineer

Location: Sydney – North Ryde

Working Model: Hybrid – 3 days in the office

Employment: Permanent

The Opportunity

We are working with an established Australian technology company that is making a significant investment into its DevOps and infrastructure capability.

The business operates a substantial privately managed infrastructure environment and is currently going through a major modernisation program, with a strong focus on Kubernetes, containerisation and automation .

This role will sit between traditional infrastructure and modern Platform/DevOps engineering. You’ll work across Linux and bare-metal infrastructure while helping the business continue its move towards a more containerised, automated operating model.

There is also significant investment going into AI , with the DevOps team responsible for building and operating the underlying infrastructure and platform capabilities that will allow AI to be introduced across the company’s product environment.

What You’ll Be Working On

  • Building, administering and improving Kubernetes environments
  • Supporting the continued adoption of containerised infrastructure
  • Managing and improving Linux-based private cloud and bare-metal environments
  • Automating infrastructure, deployments and operational processes using Python and Bash
  • Building and improving CI/CD pipelines across GitLab, GitHub and Bitbucket
  • Using Ansible and/or Puppet for configuration management and infrastructure automation
  • Working across servers, networking, storage and virtualisation
  • Supporting complex, multi-component application and platform deployments
  • Helping reduce reliance on traditional VMware-based infrastructure
  • Improving deployment processes with the goal of moving from lengthy manual deployments towards highly automated delivery
  • Supporting the infrastructure and platform capabilities required for future AI workloads and applications
  • Taking ownership of technical challenges and contributing to the continued development of the wider DevOps function

What We’re Looking For

The ideal candidate will come from a Senior DevOps, Platform Engineering, Linux Infrastructure, Infrastructure Automation or SRE background.

You’ll ideally bring:

  • Strong hands-on Kubernetes experience within production environments
  • Experience administering Kubernetes itself, rather than solely deploying applications into managed clusters
  • Rancher experience would be highly regarded
  • Strong Linux administration experience
  • Exposure to private cloud, bare-metal or internally managed infrastructure
  • Strong scripting and automation experience with Python and/or Bash
  • CI/CD experience, ideally across GitLab , GitHub or Bitbucket
  • Configuration management experience with Ansible and/or Puppet
  • Understanding of infrastructure across servers, networking, storage and virtualisation
  • Experience supporting complex production environments
  • Ability to troubleshoot across both infrastructure and application/platform layers
  • A strong automation mindset and desire to remove repetitive manual processes

Who Will Do Well Here:

The team values technical aptitude, attitude and ownership over someone simply ticking every technology box.

You’ll suit the environment if you’re:

  • Hands-on and technically curious
  • Comfortable taking ownership and working autonomously
  • Someone who naturally looks for opportunities to automate
  • Happy working across both modern and traditional infrastructure
  • Keen to learn technologies outside your immediate area of expertise
  • Collaborative and willing to contribute to a growing engineering team

This is a strong opportunity for an engineer who enjoys working close to the infrastructure layer but wants to be heavily involved in the shift towards Kubernetes, automation, modern DevOps practices and AI-ready infrastructure .

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