Lead AWS Systems Engineer

3 days ago

Coimbatore, Tamil Nadu, India EPAM Systems Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are seeking skilled and dedicated
Lead AWS Cloud & DevOps Engineers
to join our teams across multiple locations in India.

In this role, you will contribute to critical client applications and internal projects, serving as an AWS Systems Engineer specializing in Infrastructure as Code, Containers, or DevOps solutions.

Responsibilities

  • Provide fault-tolerance, high-availability, scalability, and security on AWS infrastructure and platforms
  • Build and implement CI/CD pipelines with automated systems for testing and deployment
  • Facilitate production deployment utilizing various deployment strategies such as Blue-Green and Canary
  • Automate AWS infrastructure and platform provisioning using Infrastructure as Code solutions
  • Configure systems using management tools for automation
  • Optimize AWS network architecture including VPCs, subnets, routers, and transit gateways
  • Troubleshoot and monitor cloud performance with observability services like CloudWatch and VPC Flow Logs
  • Establish security frameworks within AWS environments using IAM roles, WAFs, and CloudTrail
  • Develop scripts in Linux, Python, or PowerShell to streamline operational tasks

Requirements

  • Minimum 8 years of experience, including 5 years in cloud and DevOps roles
  • Production experience in Linux/Windows system engineering
  • Proficiency with AWS Compute services: EC2, Lambda, Autoscaling, and Load Balancers
  • Competency in AWS Storage services: S3, EFS, EBS, and archival options like Glacier
  • Expertise in AWS Security services: IAM, KMS encryption, and monitoring tools like AWS Config
  • Familiarity with AWS Networking services: VPC setups, VPN usage, and endpoints
  • Hands-on with observability tools such as CloudWatch Alarms, ECS/EKS Monitoring, and VPC Flow Logs
  • Skills in automation with orchestration tools like Terraform or AWS CloudFormation
  • Expertise in container orchestration using Docker and platforms such as Kubernetes on EKS/ECS
  • Flexibility to implement various deployment strategies including in-place modifications and blue-green approaches

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