Mid - Senior Cloud Engineer x 2
Posted Updated
Summary
Iterate is recruiting two mid-to-senior Cloud Engineers for a client's Cloud Operations team in Melbourne. The work splits between AWS and Azure: converting ClickOps environments to Terraform, supporting an Azure landing zone uplift, and helping run a fast-growing internal AI platform on Amazon EKS, alongside routine ops tickets.
The opportunity:
One of our clients is hiring two Cloud Engineers into its Cloud Operations team. These are mid to senior roles which means you don’t need 15 years and a tech lead title, but you do need to be comfortable picking up a problem and running with it.
The team currently does a lot of its work through the console. The hiring manager wants to change that, and these two hires are central to the plan. You’ll help bring Terraform and Infrastructure as Code into the team’s day-to-day work, move routine requests towards self-service, and support a fast-growing internal AI application platform.
What the work looks like:
The workload is split fairly evenly between AWS and Azure, so you’ll be working across both clouds every week.
What you’ll bring:
One of our clients is hiring two Cloud Engineers into its Cloud Operations team. These are mid to senior roles which means you don’t need 15 years and a tech lead title, but you do need to be comfortable picking up a problem and running with it.
The team currently does a lot of its work through the console. The hiring manager wants to change that, and these two hires are central to the plan. You’ll help bring Terraform and Infrastructure as Code into the team’s day-to-day work, move routine requests towards self-service, and support a fast-growing internal AI application platform.
What the work looks like:
The workload is split fairly evenly between AWS and Azure, so you’ll be working across both clouds every week.
- Converting existing environments built through ClickOps into Terraform across AWS and Azure, and extending the existing Terraform codebase.
- Supporting an Azure landing zone uplift: assessing which subscriptions are affected by new security policies, working with teams on exclusions or changes, and rolling those policies out.
- Supporting a centralised AI application platform running on Amazon EKS, which has onboarded over 30 applications in the past six months. You’ll investigate issues and support requests as usage grows, working closely with the platform team that builds it.
- Managing and troubleshooting AWS infrastructure, including EC2 instances, networking, IAM and native services.
- Helping set up DevOps agents to enable self-service for engineering teams.
- Working through operational tickets across both clouds: account and subscription creation, SSO setup, certificate fixes, investigations and server patching.
- Maintaining Windows Server environments alongside Active Directory and Entra ID.
What you’ll bring:
- Solid hands-on experience in both AWS and Azure. You don’t need to be equally deep in each, but you should be comfortable operating and troubleshooting in either.
- Hands-on Terraform experience, and a preference for solving problems in code rather than the console.
- Working knowledge of containers: what running something in Docker actually means, plus familiarity with orchestration such as EKS or ECS.
- Python or similar scripting for automation.
- Windows Server, Active Directory or Entra ID experience.
- Comfort with ticket-based operational work alongside project and uplift work.
- Real enthusiasm for using AI in your engineering work. The organisation is relatively open on this for an enterprise, with dedicated AI tooling and budget available, and they want people who’ll actively experiment and share what works.
- A good attitude and willingness to get stuck in.