DevOps Engineer - AWS, MLOps, Kubernetes, Generative AI - Fed Govt!
- Design and maintain AWS cloud infrastructure and Infrastructure as Code solutions.
- Build CI/CD pipelines for applications, APIs, AI services and machine learning models.
- Deploy and support containerised solutions using Docker, Kubernetes and Amazon EKS.
- Build cloud platforms supporting AI, ML & data science solutions
- AWS, Terraform, Kubernetes, MLOps & modern CI/CD
- Long-term Federal Government contract with hybrid working
An exciting opportunity is available for an experienced DevOps Engineer to design, automate, deploy and support the cloud infrastructure and engineering platforms underpinning AI, machine learning and data science solutions. You will help move innovative solutions from proof of concept through to secure, scalable and production-ready environments. The successful DevOps Engineer will be offered an initial 12-month contract with the view to be extended, with opportunities in VIC and NSW and hybrid working arrangements.
The successful DevOps Engineer will be responsible for, but not limited to:
- Design and maintain AWS cloud infrastructure and Infrastructure as Code solutions.
- Build CI/CD pipelines for applications, APIs, AI services and machine learning models.
- Deploy and support containerised solutions using Docker, Kubernetes and Amazon EKS.
- Support monitoring, security, MLOps/LLMOps and production deployment of AI solutions.
The successful DevOps Engineer will have experience in the following:
- AWS cloud infrastructure, services and platform engineering.
- Terraform, AWS CDK or CloudFormation and Infrastructure as Code.
- CI/CD, Docker, Kubernetes/EKS, monitoring and observability.
- Troubleshooting complex cloud infrastructure, deployment and operational issues.
Candidates must have the ability to obtain the required security clearance.
Experience supporting machine learning, artificial intelligence or data science platforms will be highly regarded.This is a fantastic opportunity for an experienced DevOps Engineer to work at the intersection of cloud engineering, AI, machine learning and DevOps, delivering secure and scalable platforms for emerging technology solutions. If you have the required skills and experience, APPLY NOW. Please forward your application to ******************* quoting reference number JB0795.
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