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Devops/cloud Engineer(internship) Resume

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TX

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SUMMARY

  • Around 3 Years of extensive work experience in IT industry on AWS, Build & Release and Linux administration.
  • Experienced the full software life cycle in SDLC, Agile and Scrum methodologies.
  • Worked with system, network, security and storage teams to prepare and configure new servers for the environment.
  • Experience in Monitored System Activities like CPU, Memory, Disk and Swap space usage to avoid any performance issues.
  • Experience on AWS cloud services like EC2, S3, RDS, ELB, EBS, VPC, Route53.
  • Experience in creating and maintaining Auto scaling groups, IAM user roles, policies, EC2 Container Service (ECS) and Load Balancers.
  • Have a good knowledge about databases like RDS, Dynamo DB.
  • Automation and integrating of Version Control Systems for source code management. Worked extensively on Git. Maintaining branching model and security in GitHub with best practiced strategies.
  • Experience in using Configuration Management tools like Chef and Puppet. Authored many recipes and cookbooks for node management. Wrote many manifests for different modules to be configured remotely.
  • Experience in setting up of Docker and creating new images and getting images from Docker Hub, worked on Docker images and containers for deploying applications.
  • Extensively worked on Jenkins for continuous integration and for End - to-End automation for all build and deployments.
  • Expert in deploying the code onto web application servers like JBOSS/ Apache Tomcat.
  • Robust participation for functioning in a fast-paced multi-tasking environment both independently and in the collaborative team. Adequate with challenging projects and work in ambiguity to solve complex problems. A self- motivated exuberant learner.

TECHNICAL SKILLS

Programming Languages: C, Java, Socket programming (beginner), Python, JavaScript, HTML, CSS, SQL

Databases and Cloud: MySQL, AWS

Source Code Management Tools: GitLab, Github, Bit Bucket, Jenkins

Tools: Jenkins, apache tomcat, splunk, bitbucket, jira, Maven, Chef, Kubernetes, Docker, Ansible, Terraform, WebLogic, JBoss, Maven

Methodology: SDLC, Agile

Operating Systems: Windows, Linux, MacOS

PROFESSIONAL EXPERIENCE

Confidential, TX

DevOps/Cloud Engineer(internship)

Responsibilities:

  • Configured SNS, SQS, RDS, DynamoDB, S3, IAM, Cloud Front and ELB to setup environment ready for cloudification.
  • Configuring of VPC and Route 53 DNS with networking of subnets containing servers.
  • Creating alarms in CloudWatch service for monitoring the server’s performance, CPU Utilization, disk usage etc.
  • Used AWS lambda to run servers without managing them and to trigger to run code by S3 and SNS.
  • Used GIT for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven.
  • Created and maintained Puppet Modules to manage configurations and automate installation process. Deployed Puppet and Puppet DB for configuration management to existing infrastructure.

Confidential

DevOps/Cloud Engineer

Responsibilities:

  • Configured Elastic Load Balancers with EC2 Auto scaling groups
  • Auto scaling groups, CloudWatch, CloudFront, IAMfor installing configuring and troubleshooting on various Amazon Images.
  • Build servers using AWS: Importing volumes, launchingEC2, creating security groups, auto-scaling, load balancers, Route 53, SESandSNSin the defined virtual private connection.
  • Creating alarms inCloudWatchservice for monitoring the server’sperformance, CPU Utilization, disk usageetc.
  • Managed users and groups using the AmazonIdentity and Access Management(IAM).
  • Maintaining the user accounts (IAM),RDS, Route 53, SES and SNSservices in AWS cloud.
  • Provision ofRDSinstances, managing instances by scaling, backup and security.
  • ProvisionedAmazon RedShiftfor large volume data and creating clusters, fetching data from s3 and giving authorize access to clusters.
  • Setting up private networks and sub-networks usingVirtualPrivateCloud (VPC) and creating security groups and access control lists to associate with the networks.
  • Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.

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