DevOps Engineer

September 22, 2026
Application ends: December 21, 2026
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Job Description

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.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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