Design and manage scalable infrastructure on Amazon Web Services (AWS)
Hands-on experience with Amazon EKS, AWS IAM, and Amazon S3
Implement secure, highly available, and cost-optimized architectures
Deploy, manage, and scale applications on Kubernetes (EKS preferred)
Implement GitOps workflows using Argo CD
Ensure observability, reliability, and performance of workloads
Build and manage CI/CD pipelines using Azure DevOps (ADO)
Automate deployments, testing, and release processes
Enforce DevOps best practices and improve delivery efficiency
Develop and maintain IaC using Terraform
Standardize reusable modules and enforce governance
Build and manage MLOps pipelines for training, deployment, and monitoring of ML models
Support AI/ML applications in production environments
Work closely with data science teams to operationalize models
Integrate security practices into CI/CD pipelines (SAST, DAST, container scanning)
Implement secure access using IAM roles, policies, and secrets management
Ensure compliance, vulnerability management, and security best practices

Senior DevOps Engineer – AWS, MLOps, Kubernetes

Key skills