Description

  • Involved in designing and deploying WMS applications utilizing almost all of the AWS stack (including EC2, Route53, S3, RDS, Dynamo DB, SNS, IAM) focusing on high-availability, fault tolerance, and auto-scaling.
  • Migrated the current Linux environment to AWS/RHEL Linux environment and used auto scaling feature.  
  • Increasing EBS backed volume storage capacity when the root volume is full using AWS EBS Volume Feature.
  • Creating AWS Route53 to route traffic between regions.
  • Working with GitHub private repositories.
  • Creating S3 backups using versioning enable and moving objects to Amazon Glacier for Archiving purpose.
  • Using GZIP with AWS cloud front to forward compressed files to destination node/instance.
  • Creating SNS notifications and assigned to ARN to S3 for objects loss notifications.
  • Creating load balancers(ELB) and using Route 53 with failover and latency options for high availability and fault tolerance.
  • Configuring security group for EC2 window and Linux instances and for puppet master and puppet agents.
  • Experienced in building monitoring tools such as Data Dog and Cloud watch.
  • Building out server automation with puppet and using other tools like Jenkins for deployment and build management system.
  • Designing and developing automation test scripts using python

 

 

Qualification

Bachelor’s degree in Computer Science or a closely related field

Location

USA

Key Skills
Education

Any Graduate

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