Description

 
Desirable Skills: Must have experience in AWS S3| EC2| DynamoDB| SNS| SQS| CloudWatch| Lambda Must have hands on experience in Junit| Cucumber Experience using DevOps| version controlling tools and repositories (Maven| Jenkins| Git| svn| Attunity| Bit bucket| Bamboo etc.)Must have hands on experience in CI/CD pipelines| SQL Experience in integrating Rest APIs
Keyword: ~Python| AWS computing| Glue~
Skills: Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing
Experience Required: 6-8
Strong experience in AWS Cloud (EC2, S3, IAM, VPC, Lambda, EKS, CloudWatch)
Hands-on expertise in Python scripting and AWS automation using Boto3
Proficient in Terraform/CloudFormation for Infrastructure as Code (IaC)
Experience with CI/CD pipelines using Jenkins, GitHub Actions, CodePipeline, and CodeBuild
Strong knowledge of Docker, Kubernetes (EKS), and Helm
Experience with Amazon SageMaker for model training, deployment, monitoring, and MLOps pipelines
Expertise in Arize AI for model observability, drift detection, model performance monitoring, and LLM evaluation
Knowledge of monitoring tools such as CloudWatch, Grafana, Prometheus, and ELK
Experience implementing DevSecOps practices, security scanning, and secrets management
Familiarity with GenAI/LLM deployments, AWS Bedrock, and Agile delivery methodologies

Key Skills

Education

Bachelor's degree