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Kuldeep

DevOps Engineer
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Location Agra
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Total Views108
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Member since30+ Days ago
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Contact Details
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Candidate Information
  • User Experience
    Experience 6.4 Year
  • Cost
    Hourly Rate$19.6
  • availability
    AvailabilityMore 1 Month
  • work from
    Work FromAny
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    CategoryInformation Technology & Services
  • back in time
    Last Active OnJune 03, 2024
Key Skills
DockerKubernetes ECS Code-PipelineLambda Code CommitTerraform CloudForma Python (Boto3) Amazon Web ServicesAuto- Scaling in launching EC2 instances Elastic Load Balancer Code-Pipeline ECS Code Commit
Summary

Total 6 years of experienceinAWS,withstrongexpertiseinAWSInfrastructureDesignandImplementation.

As a passionate advocate of AWS, lead a various project on physical data center environment to AWS.

Manage and maintain a scalable, fault-tolerant, high-performing hosting infrastructure in AWS.

Designing solution based on High Availability, Cloud Backup, and Disaster Recovery on AWS with Migration of Servers and data.

Experience in Configuring and Deploying instances on Amazon Webservices.

Experience in calculating AWS costing for different environments based on BOM.

Experience with Configuration Management, Build and Deploy on Amazon WebServices.

In-depth experience with Amazon AWS Cloud Services, (EC2, S3, EBS, ELB, Cloud Watch, Elastic IP, RDS, SNS, SQS, Glacier, IAM, VPC, Route53, CloudTrail, DirectConnect, DMS, S)andmanagingsecuritygroupsonAWS.

Create and maintain fully automated CI/CD pipelines for code deployment using multiple DevOps AWS native tools.

Managing source code using source code management tools like it, Bitbucket or Code Commit.

Worked on various AWS native DevOps tools like Code Commit, Code Deploy, Code Build, Code-Pipeline, Docker, ECS, ECR.

Experience in creating Terraform/CloudFormation scripts to provision AWS resources.

Experience in AWS code commit, code build, code deploy, and code pipeline.

Built and deployed/Migrate Docker containers to break up monolithic apps into microservices, improving developer workflow, increasing scalability, and optimizing speed.

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