Description:
• Strong hands-on expertise in Kubernetes (AKS) – cluster design, scaling, upgrades, and production support
• Extensive experience with Azure cloud services and cloud-native deployments
• Proficient in Docker & containerization, image optimization, and container security
• Hands-on experience with Jenkins CI/CD pipelines and automated deployments
• Strong understanding of end-to-end system architecture and cloud-native design
• Experience applying design patterns and architectural best practices
• Proven expertise in microservices architecture and Kubernetes-based deployments
• Hands-on experience with AI/ML deployment on Kubernetes, including LLM-based applications
• Familiarity with AI deployment & observability tools such as LangSmith
• Experience with Infrastructure as Code (Terraform/ARM/Bicep)
• Strong knowledge of monitoring, logging, and troubleshooting production environments
