AWS DevOps Engineer

Salary: $115 - $135 per hour (inc. super)

• 12 + 12 month contract – Nov start date
• NV1 Security Clearance - Surry Hills, NSW
• Flexible work conditions - Design, deploy and support AWS cloud-based solutions

Our client, a Federal Government statutory authority based in Surry Hills, NSW, requires the services of an AWS DevOps Engineer for a 12 + 12-month contract.

Duties of the AWS DevOps Engineer:

• Design, build and maintain AWS cloud infrastructure supporting AI, machine learning, software engineering and data science workloads.
• Implement and manage Infrastructure as Code solutions using technologies such as Terraform, AWS CDK or CloudFormation.
• Maintain cloud environments supporting development, testing, pilots and production-ready solutions.
• Support cloud networking, IAM, storage, compute and security services.
• Contribute to platform reliability, resilience, scalability and cost optimisation initiatives.
• Design, develop and maintain CI/CD pipelines to automate build, test, security scanning and deployment activities.
• Implement automated deployment processes for APIs, web applications, AI services, machine learning models and data products.
• Deploy, manage and support containerised applications using Docker, Kubernetes and Amazon EKS.
• Implement security controls aligned with cyber security requirements and cloud governance standards.
• Support the deployment and operational management of ML, AI and generative AI solutions.

Skills and Experience - AWS DevOps Engineer:

Essential criteria

• Demonstrated experience designing, deploying and supporting AWS cloud-based solutions.
• Demonstrated experience developing and maintaining CI/CD pipelines to build, test and deploy applications and services reliably.
• Experience implementing Infrastructure as Code solutions using technologies such as Terraform, AWS CDK, CloudFormation or equivalent.
• Experience working with containerisation and orchestration technologies, including Docker and Kubernetes, preferably Amazon EKS.
• Experience implementing monitoring, logging and observability solutions for cloud-based applications and platforms.
• Demonstrated ability to troubleshoot complex infrastructure, deployment and operational issues.

Desirable criteria

• Experience supporting machine learning, artificial intelligence or data science platforms.
• Experience with MLOps, LLMOps or AI model deployment and monitoring practices.
• Familiarity with Amazon Bedrock and the deployment of generative AI or retrieval-augmented generation (RAG) solutions.
• Experience implementing cloud security controls, identity and access management, secrets management and compliance automation.

How to Apply

For a copy of the full job description, including the application instructions, please get in touch with Andy at Recruitment Hive by clicking the Quick Apply button. Alternatively, you can reach Andy on (02) 6299 1006 to discuss further.

Please note that applications close at 11am on the 6th of October 2026. Recruitment Hive welcome late applications to be considered for future opportunities.

We Value Diversity

The Recruitment Hive is a proud Equal Opportunity Employer. We recognise the value of diverse perspectives and experience and are committed to an inclusive workplace where everyone feels valued and respected for who they are. We encourage people with disability, indigenous, veterans and people of all backgrounds and abilities to express their interest in this role.

Job ID: AE 679141 | LH-07948