About the client
Our client is a Reputed Bank.
Responsibilities
- Design, provision, and maintain Azure sandbox environments for multiple AI use cases.
- Create and manage Azure resource groups, ensuring proper organization and access control.
- Deploy, configure, and maintain AKS clusters and Azure Container Apps for AI workloads.
- Ensure reliable operation and scalability of containerized applications in both sandbox and UAT environments.
- Implement best practices for container orchestration, networking, and security.
- Collaborate with AI developers to build Docker base images for new use cases.
- Troubleshoot and resolve issues related to containerization and deployment.
- Design and implement end-to-end CI/CD pipelines for automated build, test, and deployment of AI solutions.
- Integrate pipeline tools with Azure services to enable rapid, reliable releases.
- Act as the technical infrastructure manager for the AI engineering team.
- Proactively identify and resolve cloud resource issues, ensuring minimal disruption to AI development and deployment.
- Drive continuous improvement in cloud operations, automation, and security.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- Minimum 4 years of hands‑on experience in cloud engineering, with a focus on Azure cloud services.
- Experience managing Azure resource groups, AKS, and Azure Container Apps.
- Strong knowledge of Docker and containerization best practices.
- Proven track record in developing CI/CD pipelines for cloud-based deployments.
- Experience supporting AI or data engineering teams is a plus.
- Hands‑on experience with AKS, Azure Container Apps, and Docker.
- Familiarity with CI/CD tools (Azure DevOps, GitHub Actions) and scripting skills (PowerShell, Bash, Python) for automation.
Interested candidates, who wish to apply for the above position, please send in your resume to Mohamed.basith@persolapac.com
We regret that only shortlisted candidates will be contacted.
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