DevOps Engineer - AI & AWS

Change Recruitment

City of Melbourne

On-site

AUD 110,000 - 170,000

Full time

14 days+
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Job summary

Change Recruitment is working with a leading technology consultancy seeking an experienced DevOps Engineer to join their Melbourne team, focused on AWS environments and a growing emphasis on GenAI and Agentic AI workloads.

You will build scalable, secure cloud infrastructure, develop and optimise CI/CD pipelines, implement IaC with Terraform and CloudFormation, and manage Docker and Kubernetes (EKS) in AWS.

Qualifications

  • Hands-on experience with AWS core services and architectures.
  • Experience with CI/CD using GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
  • Infrastructure as Code with Terraform and CloudFormation.
  • Container orchestration with Docker and Kubernetes on AWS/EKS.
  • DevOps and Platform Engineering background.
  • Familiarity with Amazon Bedrock and AgentCore.
  • Scripting in Python, Bash, or Go.
  • Knowledge of cloud security best practices.

Responsibilities

  • Build and maintain scalable, secure AWS cloud infrastructure.
  • Develop and improve CI/CD pipelines and deployment processes.
  • Manage environments via Infrastructure as Code.
  • Support containerised workloads with Docker and Kubernetes.
  • Drive automation across infrastructure and platform engineering.
  • Apply cloud security, IAM, and platform best practices.
  • Support GenAI and Agentic AI workloads deployments.
  • Collaborate with AI and engineering teams to production.

Skills

AWS
CI/CD
Terraform
Docker
Kubernetes
Platform Eng
Python
Cloud security
Observability

Tools

GitHub Actions
GitLab CI
Jenkins
Azure DevOps
Terraform
CloudFormation
Datadog
Grafana
Prometheus

Job description

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 modern 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.

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