Role Type
Description
Position Description
The Senior DevOps Engineer works with the DevOps & Cloud Engineer Lead and software engineering teams to build, automate and support the cloud infrastructure and DevOps capabilities that underpin the Digital Product portfolio.
The role is primarily hands-on, with a focus mainly on AWS, Infrastructure as Code, CI/CD and automation. The successful candidate will help implement established platform standards and patterns, support application teams and progressively take ownership of defined areas of the platform.
Key Responsibilities
- Build, configure and maintain AWS infrastructure supporting applications and services.
- Implement Infrastructure as Code using Terraform, following established platform patterns and standards.
- Build and maintain AWS amplify pipelines across Dev, UAT and Production environments, supporting application onboarding, infrastructure deployment and CI/CD processes.
- Automate infrastructure and operational processes using PowerShell, Bash, Python and other appropriate tooling.
- Support the deployment and operation of applications and supporting AWS services.
- Monitor, troubleshoot and resolve cloud infrastructure, deployment and pipeline issues.
- Identify opportunities to improve automation, reliability, security and operational efficiency.
- Contribute to technical standards, documentation and reusable tooling, staying current on emerging technologies and actively sharing knowledge across the team.
- Work collaboratively with cross-functional teams including software developers, testers, architects, security, enterprise platform teams and project managers.
Essential Qualifications / Experience
- Computer Science, Information Technology or related degree, or equivalent practical experience.
- Hands-on experience with AWS is required and experience with other cloud platforms such as Microsoft Azure is advantageous.
- Experience with Git/Bitbucket and CI/CD concepts.
- Experience with Infrastructure as Code with Terraform experience highly desirable.
- Practical scripting or automation experience using PowerShell, Bash, Python or a similar language.
- Understanding of cloud infrastructure concepts including networking, identity, access management and security.
- Experience with, or understanding of, deploying and supporting applications in a cloud environment.
- Experience with AWS Amplify, DynamoDB, Lambda, API gateway, Cloudformation, WAF, IAM, Jenkins would be highly desirable.
- Experience with AI-assisted development tools (e.g. GitHub Copilot, Claude) and familiarity with integrating LLM APIs into workflows
- Understanding of software development practices including source control, pull requests and code review.
- Good communication skills – written and verbal.
- Demonstrated problem-solving and troubleshooting skills.
- Takes ownership of assigned work and follows tasks through to completion.
- The ability to occasionally work outside normal business hours, including weekends.
Primary Technologies
- Cloud platforms — AWS (primary), Azure or equivalent
- Infrastructure as Code (Terraform)
- CI/CD Pipeline (GIT/Bitbucket/Jenkins)
- Scripting and automation (PowerShell, Bash, AWS CLI Python)
- Monitoring & observability (Amazon CloudWatch, AWS X-Ray, CloudWatch Logs)
- Atlassian Jira / Confluence
Australia
New Zealand
United Kingdom
Canada
Singapore
Malaysia





