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Lead Systems Engineer – AWS, DevOps

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Amazon Web Services, Terraform, Python, Docker, Kubernetes, CI/CD, DevOps
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Hyderabad, Bangalore, Pune, Chennai, Gurgaon

We are currently looking for an experienced Lead AWS Cloud & DevOps Engineer to work in India for our offices in multiple locations.

You will be working as an AWS System Engineer or AWS Infrastructure as a Code Engineer or AWS Container Engineer or AWS DevOps Engineer on critical applications of our esteemed clients or internal projects.

Responsibilities
  • Oversee fault-tolerance, high-availability, scalability, and security on AWS Infrastructure and Platform
  • Implement CI/CD pipelines with automated build and test systems
  • Manage Production Deployment using multiple deployment strategies
  • Automate the AWS Infrastructure and Platform Deployment with Infrastructure as a Code
  • Automate system configurations using Configuration Management Tool
Requirements
  • Minimum 8 years of experience, with 5 years of relevant experience in Cloud and DevOps
  • Hands-on production experience in Linux or Windows System Engineering
  • Proficiency in AWS Compute Service including EC2, AMI, Lambda, Autoscaling, Load Balancers, and Spot Instances
  • Background in AWS Storage Service such as S3, EFS, EBS, Glacier, and Storage Gateway
  • Capability to use AWS Security Service including IAM, AWS Config, CloudTrail, WAF, and KMS
  • Understanding of AWS Network Service like VPC, Subnets, Router, Transit Gateway, VPN, and VPC Endpoint
  • Familiarity with AWS observability Service including CloudWatch Alarms, CloudWatch Logs, CloudTrail, VPC Flow Logs, and ECS/EKS Enhanced Monitoring
  • Competency in automation using AWS Orchestration Tools like Terraform and CloudFormation
  • Experience in Docker and container orchestration using Kubernetes on AWS EKS or AWS ECS
  • Capability to write scripts (Linux/shell/Python/Windows PowerShell) to automate cloud automation tasks or configuration management tasks
  • Expertise in deploying using In-place Deployment, Blue-Green Deployment, and Canary Deployment