Data DevOps Engineer - AI product

Technical Skills:
Responsible for design and implementation of secure and scalable infrastructure in AWS/Azure cloud. Build and maintain CI/CD pipeline across AWS cloud platform for Data science projects. Own and automate the infrastructure provisioning, demand forecasting and capacity planning. Build tools and automation to improve systems availability, reliability, performance, monitoring, and scalability. Setting up the alerts and monitoring for the platform. Monitoring system, application health, security controls and cost Envision, implement and rollout best DevOps tools and automation.

Additional Requirement:
Minimum 3 years of experience with AWS/Azure Experience with current industry standard DevOps tools and practices. Java & Python - Able to demonstrate advanced programming ability in more than one common programming language and scripting languages. Experience with monitoring tools. Experience migrating workloads from on-premises to AWS/Azure. Hands-on experience in Docker, Kubernetes, Terraform and Cloud formation. Excellent experience with source code management tools (git) Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline. Excellent Troubleshooting skills Always ready to learn more and adopt new cutting-edge technology with right value proposition. Experience automating routine task. Good to have following certifications: AWS Solution Architect Associate Azure Administrator Associate