AWS DevOps+MLOps Engineer

Job Title: AWS DevOps Engineer (MLOps)We are looking for a highly skilled AWS + MLOps Engineer to design, build, and maintain scalable machine learning infrastructure and pipelines on AWS. The ideal candidate will have strong expertise in DevOps practices, cloud architecture, and MLOps frameworks, along with solid Python programming skills.Job Description:We are looking for an experienced AWS DevOps Engineer to join our team. You will be responsible for building and optimising CI/CD pipelines, managing AWS infrastructure, and automating tasks using AWS services.Key Responsibilities:CI/CD Pipelines: Develop CI/CD pipelines with AWS CodePipeline, build ECR images, and update services on ECS.Automation: Create Python Lambda functions for automation and AWS Batch jobs for GPU processing.Infrastructure Management: Manage AWS infrastructure using Terraform (IAM roles, RDS, Lambda, etc.) and deploy microservices on EKS with ALB Ingress.Data Processing: Work with AWS Step Functions and EMR for data workflows; troubleshoot Spark jobs.Microservices: Deploy ATLAS on ECS, and create AWS Glue crawlers for data integration.Strong Experience with MLOps is an added advantage.Required Skills:Experience with AWS services (ECS, ECR, Lambda, Step Functions, EMR, Glue, etc.).Proficient in CI/CD, Terraform, and Python scripting.Experience deploying EKS clusters and using AWS ALB for routing.Strong troubleshooting skills with EMR and Spark.Understanding/experience with AWS EMR, Sagemaker and Databricks would be added advantagePreferred:AWS Certification (DevOps, Solutions Architect, etc.).Experience with microservices and GPU-intensive processes.