Description

You will build and maintain Python-based applications and infrastructure on AWS, focusing on automation, CI/CD, and MLOps pipelines.

This role is on-site.

Responsibilities

• Develop and optimize Python scripts and applications using AWS services (EC2, S3, Lambda, DynamoDB, SNS, SQS).
• Design and implement CI/CD pipelines using Jenkins, GitHub Actions, or AWS CodePipeline/CodeBuild.
• Manage infrastructure as code using Terraform or CloudFormation.
• Deploy and manage containerized applications using Docker, Kubernetes (EKS), and Helm.
• Implement monitoring, logging, and security scanning (DevSecOps) using CloudWatch, Grafana, Prometheus, or ELK.

Required Skills

• 6-8+ years of experience with AWS Cloud Computing (EC2, S3, IAM, VPC, Lambda, EKS, CloudWatch).
• Strong hands-on expertise in Python scripting and AWS automation using Boto3.
• Proficient in Terraform or CloudFormation for Infrastructure as Code (IaC).
• Experience with CI/CD tools including Jenkins, GitHub Actions, and Bitbucket.
• Strong knowledge of Docker, Kubernetes (EKS), and Helm.
• Hands-on experience with SQL and database services (DynamoDB, S3).
• Familiarity with JUnit, Cucumber, and unit testing frameworks.
• Experience integrating REST APIs and version control systems (Git, SVN).

Preferred Skills

• Experience with Amazon SageMaker for model training, deployment, and MLOps pipelines.
• Knowledge of Arize AI for model observability, drift detection, and LLM evaluation.
• Familiarity with GenAI/LLM deployments, AWS Bedrock, and Agile delivery methodologies.

Key Skills

Education

Bachelor's degree