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Aws Devops Engineer Resume

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SUMMARY

  • Having 3+ Years of Experience as a AWS developer in the IT industry.
  • Experience in Linux Administration (Installation, Configuration, Tuning and Upgrades of Linux (Red Hat and Oracle).
  • Knowledge of implementing Organization DevOps strategy in various operating environments of Linux servers along with cloud strategies of Amazon Web Services.
  • Expertise in Amazon AWS Cloud Services and administration which includeEC2, ELB, EKS, EBS, IAM, S3, Route53, Cloud Front, Lambda, Cloud Trail, Amazon CLI, AWS Code Commit, Amazon VPC.
  • Designedhighly available,cost - effectiveand fault-tolerantsystems usingEC2 instances, Auto Scaling, Elastic Load Balancingand Amazon Machine Images (AMI), Designed roles and groups using AWSIdentity Access Management (IAM)maintained user accounts,RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS & SNS services in AWS.
  • Experience in phases of SDLC (Software Development Life Cycle), Agile/Scrum Methodologies for Analysis, Planning, and Development, Testing, Implementing and post-productionanalysis of the project.
  • Experience withJenkins, as Continuous Integration / Continuous Deployment (CI/CD) Tooland strong expertise with Maven Build Frameworks.
  • Knowledge on tools and implementing pipelines using CHEF/ ANSIBLE/ PUPPET for Deployment.
  • Experience in UNIX Shell/bash scripting.
  • Hands on experience withVersion Control toolssuch asSubversion (SVN), Git, Bitbucketin Branching, Merging Strategies, Tagging and maintaining versions across Windows and Linux platform.
  • Experience in Migration & deployment of Applications with upgrade version of Application & Hardware, MS build, batch script, IIS and Jenkins Administrator.
  • Experience on several Docker Components like Docker Engine and Docker Registry, which are extensively used Docker for virtualization, run, ship, and deploy the application which fastens the build/release engineering.
  • Worked with Bug Tracking tools like JIRA, Bugzilla.
  • Developed anend-to-endContinuous IntegrationPipelineusing Jenkins for enabling containerized local control plane usingKubernetes & Docker.
  • Experience with Database languages like SQL server, Oracle SQL & PL/SQL, Oracle DB2 in writing stored procedures, queries.
  • Good at Relational Database design, stored procedure, triggers, user-defined functions, packages, RDBMS.
  • Possess high working qualities with good interpersonal skills, high motivation, fast learner, good team player and very proactive in problem solving to provide best solutions.

TECHNICAL SKILLS

Operating Systems: Linux(RHEL), Ubuntu and windows 7/8/10, centos

Cloud Computing: AWS VPC, EC2, ELB, S3, Cloud formations, API GATEWAY, RDS,IAM OpenStack (Nova, Swift, Glance), Docker containers, Terraform, Kubernetes, JAVA

CI/CD Tools: Jenkins.

Provisioning Tools: Ansible, Chef, Puppet

Version Control: SVN, GIT, GitHub

Network Protocols: FTP, SSH, HTTP, TCP/IP, HTTPS.

Build Tools: Ant, Maven

Bug Tracking Tools: JIRA Atlassian, Bugzilla

Application/Web Servers: Apache Tomcat, WebLogic, IBM WebSphere, JBoss.

Languages/Scripting: Perl Scripting, Bash scripting, Power Shell Scripting, SQL, Java/J2EE, Ruby Python,XML

Databases: Oracle, MS SQL Server, MySQL, MongoDB, Cassandra NoSQL Database.

PROFESSIONAL EXPERIENCE

AWS Devops Engineer

Confidential

Responsibilities:

  • In This project, my role was to build, design, architect and maintain the systems and also support total Revenue management system.
  • Worked as part of DevOps Team for automation and build configuration management.
  • Deployed a multi-tier web application on toAWScloud for which I need to automate the required configurations using Jenkins and GitHub.
  • Experience working on UNIX, LINUX environments.
  • Developed and implemented software release management strategies for various applications as per agile process, Worked on Project lifecycle using Agile Methodologies and tools like JIRA and VersionOne.
  • Worked and Implemented AWS high-availability using AWS Elastic Load Balancing (ELB) which Automated the installation of Cloud Watch agents through Cloud formation template to monitor the multiple EC2 instances.
  • Deployed and maintained production environment using AWS EC2 and Container services using Docker.
  • Developed and deployed scripts using DOCKER, MAVEN as build tools in Jenkins in various environments creating branches as well.
  • Possess good knowledge in creating and launching EC2 instances using AMI’s of Linux, Ubuntu, RHEL, and Windows and wrote shell scripts to bootstrap instance.
  • Hands on experience working on AWS CLI.
  • Worked on integrating ANT and MAVEN as a build tools on java projects for the development of build artifacts on the source code.Converting the ANT Build projects to Maven Build projects.
  • Responsible for Continuous Integration and Continuous Delivery process, implementation using Jenkins along with Shell scripts to automate routine jobs.
  • Deployed java applications and have experience working AWS CLI using Python.
  • Worked on (CI/CD) Continuous ) and Continuous Delivery (Puppet, YUM) for scheduling/ automating build process along with automating the jobs routine by using shell scripting in the production environment.
  • Worked with XML, UML, Java servlets.
  • Knowledge of working on TEERRAFORM.
  • Experienced in creating multiple VPC’s and public, private subnets as per requirement and distributed them as groups into various availability zones of the VPC.
  • Used security groups, network ACL’s, internet gateways and route tables to ensure a secure zone for organization inAWSpublic cloud.
  • Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure with rancher, kops, EKS.
  • Deployed application which is containerized using Docker onto a Kubernetes cluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS).
  • Configured ‘Kubectl’ to interact with Kubernetes infrastructure and used AWS Cloud Formation Templates (CFT) to launch a cluster of worker nodes on Amazon EC2 instances.
  • Created several python, node.js scripts for tracking billing, monitoring status checks which helped in getting rid of hanging ec2 instances, s3 uploads/downloads, auto DNS name creation/deletion whenever new instance is created/deleted.
  • AWS CLI is widely used for developing the Make files for stack creation/deletion and update process for CFT/Stacks.
  • Hands on experience using Jenkins and Pipelines which helped us drive all micro services builds out to the Docker registry and then deployed to Kubernetes
  • Implemented Docker to provision slaves dynamically as needed. Created and Maintained Docker files in Source Code Repository build images and ran containers for applications and testing purposes. Creating and handling multiple Docker images primarily for middleware installations and domain configurations.
  • Developed Dev/Test/Prod environments of different applications on AWS by provisioning Kubernetes clusters on EC2 instances using Docker, Bash, Chef.
  • Integrated Docker container orchestration framework using Kubernetes by creating pods, configMaps, deployments.
  • Implemented Docker, KUBERNETES and worked on Docker images, Containers for Deploying web applications.
  • Administer, secure, and maintain multiple Kubernetes clusters to support a global service.
  • Worked on storage using S3 buckets and configuring daily backups to S3 bucket.
  • Worked on AWSBeanstalk for deploying and scaling web applications and services developed with Java.
  • Worked on building Object oriented Applications using JAVA, .net
  • Used IAM for creating roles, users, groups and also implemented MFA to provide additional security toAWSaccount and its resources.
  • Implemented Domain Name Service (DNS) through Route 53 to have highly available and scalable applications.
  • Created EBS volumes for storing application files for use with EC2 instances whenever they are mounted to them.
  • Monitoring the server using Nagios, Cloud Trail, CloudWatch and Trouble-shooting the alerts.
  • Worked on setting up Database in AWS using MYSQL, MONGODB & DYNAMO DB.
  • Communication between components and DB is also made secure by enabling SSL in SQL server.

Environment: AWS(EC2, VPC, ELB, S3, EBS, RDS, Route53, ELB, Cloud Watch, Cloud Formation,AWSAuto Scaling, Lambda, Elastic Beanstalk), Jenkins, GIT, SQL, AGILE,AWSCLI, Unix/Linux, Shell scripting, Jenkins, Chef, Apache, Tomcat, Terraform, Docker, Kubernetes, SVN, Jenkins, Nexus, Maven, Web Sphere Application Server (WAS), Web Logic, UNIX, Ansible, Perl, Oracle 10g/11g, Shell Script, Terraform, Bitbucket, Bugzilla, JIRA.

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