DevOps Engineer - AI & AWS (Melbourne)

DevOps Engineer - AI & AWS (Melbourne)

21 Aug
|
Change Recruitment
|
Melbourne

21 Aug

Change Recruitment

Melbourne

DevOps Engineer – AWS & AI

Type: Perm ideally or contract

Location: Melbourne preferred | Sydney considered

We are working with a leading technology consultancy who is looking for an experienced DevOps Engineer to join their team, working across modern AWS environments with a growing focus on Generative and Agentic AI.

This is an opportunity to work at the intersection of cloud, platform engineering and AI, helping build the infrastructure and engineering foundations needed to support up-to-date applications and emerging AI workloads.

We are seeking someone with a strong background across DevOps and Platform Engineering who enjoys being hands-on with cloud infrastructure, automation, CI/CD and containerised environments.

What You'll Be Doing

- Building and maintaining scalable and secure AWS cloud infrastructure
- Developing and improving CI/CD pipelines and deployment processes
- Building and managing environments through Infrastructure as Code
- Supporting containerised workloads using Docker and Kubernetes
- Driving automation across infrastructure and platform engineering
- Working across cloud security, IAM and platform best practices
- Supporting the deployment of GenAI and Agentic AI workloads
- Working with Amazon Bedrock and AgentCore components




- Collaborating with engineering and AI teams to take solutions into production

What We're Looking For

Strong hands-on experience across:

- AWS and its core cloud services
- CI/CD – GitHub Actions, GitLab CI, Jenkins, Azure DevOps or similar
- Infrastructure as Code – particularly Terraform and/or CloudFormation
- Docker & Kubernetes, ideally within AWS/EKS environments
- Previous DevOps and Platform Engineering experience
- Knowledge or experience with Amazon Bedrock and AgentCore
- Scripting and automation using Python, Bash or Go
- A strong understanding of cloud security and modern engineering practices
- Exposure to observability, monitoring, incident management and on-call tooling such as Datadog, Grafana, Prometheus or PagerDuty would be beneficial but isn't essential.

The ideal person will be a strong AWS-focused engineer who understands how modern platforms are built and automated, while also being excited about the shift towards GenAI and agentic applications in production.

This is a great opportunity to work across forward-thinking projects combining AWS, DevOps, Platform Engineering and AI.

📌 DevOps Engineer - AI & AWS (Melbourne)
🏢 Change Recruitment
📍 Melbourne

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