Key Responsibilities:
- Manage and deploy cloudbased solutions on AWS Azure or GCP
- Implement and manage Kubernetes clusters for container orchestration and microservices architectures
- Deploy and maintain data science and machine learning web applications in the cloud
- Collaborate with development teams to build scalable secure and highperformance cloud environments
- Ensure continuous monitoring optimization and security of cloud applications
Requirements
Key Requirements:
- Handson experience with Kubernetes and containerized environments
- Strong experience deploying applications on AWS Azure or GCP
- Experience with microservice architecture and managing cloudnative services
- Proficiency in deploying ML models and data science applications in cloud environments
- Knowledge of CI/CD pipelines InfrastructureasCode (IaC) and automation scripting (Python Bash etc.)
- Familiarity with containerization tools like Docker
- Experience with cloudbased monitoring tools (e.g. Prometheus Grafana CloudWatch)
- Strong understanding of cloud security best practices including access control and data protection
- Experience in scaling applications load balancing and managing highavailability systems
- Knowledge of REST APIs
Experience 38 Years
AWS, Azure, Kubernetes, Docker IAM