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Aws Engineer Resume

Chicago, IL


  • AWS Engineer with exposure to Linux and Build & Release.
  • Worked on Kubernetes, Docker, CI/CD, Terraform, Puppet, Chef.
  • DevOps on Linux and Windows
  • Virtualization and Cloud Computing (Private, Public and Hybrid) - VMware/EMC (Cloud Foundry), AWS (EC2, ELB, Cloud Watch and S3), Azure.
  • Monitoring and management tools like ZABBIX, NAGIOS, SPLUNK, AppDynamics.
  • Continuous Integration tools - Jenkins/ Hudson, Bamboo and Team City
  • Software development methodologies such as Waterfall, Agile and Scrum.
  • Scripting - Python, Shell, Terraform.
  • UNIX shell script, UNIX system concepts, Red Hat and Suse LINUX, networking.
  • WebSphere, Tomcat, JBoss, WebLogic application servers.
  • Java, JSP, Struts, JavaScript, HTML 5/HTML, SQL and PLSQL their behavior on different browsers.
  • Debugging and troubleshooting existing code.
  • Software Development Life-Cycle (SDLC) preparing Requirement Specification documents, design documents, Test cases and Analysis, User Training documents and Technical Help documents.


Version Control system: GIT and GitHub.

Build and CI/CD tools: Ant, Maven and Jenkins.

Configuration Mgmt. Tool: Ansible.

Cloud Platform: Amazon Web Services.

Scripting languages: Python, Shell, Terra form

Application server: Apache tomcat server

Operating system: Linux, Solaris, Windows.

Ticketing tools: Jira, Remedy


Confidential, Chicago, IL

AWS Engineer

  • Implement and maintain the monitoring and alerting of production and corporate servers/storage using CloudWatch.
  • Design roles and groups using AWS Identity and Access Management (IAM).
  • Worked to build demo for DevOps -end to end application deployment and scaling cloud automation for continuous delivery (OpenStack, OpenShift, Docker, continuum).
  • Build OpenStack test and development infrastructure and maintaining Chef Cookbooks for production rollout.
  • Use puppet and Chef automation tools for configuration management in different systems.
  • Write Puppet manifests in Ruby for deploying, configuring and managing collected for metric collection and monitoring
  • Responsible for maintaining different Testing/QA Environments and erection of the PROD Environment in AWS
  • Experience with analysis of logs and performing root cause analysis for various issues coming up on daily basis
  • Monitoring Live Traffic, logs, Memory utilization, Disk utilization and various other factors which are important for deployment.
  • Implement and Enhance the Existing Scripts which are developed in Shell, Perl, Ruby and Python.
  • Manage SAN disks like EMC and VMAX using EMC PowerPath.
  • Install EMC PowerPath and create Storage RAID groups, LUN's and assigning them to the servers.
  • Troubleshoot and performance tuning issues with applications like Oracle 10.x, 11.x JBoss 5.x, WebLogic 11.x, 12.x. Installing and deploying Apache, JBoss 5.x
  • Support of Applications like Apache Tomcat and Java based applications running on Linux machines for multiple clients.
  • Installation, configuration and administration of Linux (Red Hat, Centos), Sun Solaris and HP-UX Servers.
  • Storage Provisioning, Volume and File System Management using LVM/Veritas on HPUX/Linux/Sun Solaris OS in a SAN environment
  • Manage network using Security Groups, NACLS, and IAM. Use Amazon RD and, MySQL to perform basic database administration.
  • Utilize Puppet for configuration management of hosted Instances within AWS .Configuring and Networking of Virtual Private Cloud (VPC). Utilize S3 bucket and Glacier for storage and backup on AWS .
  • Develop CloudFormation scripts to automate EC2 instances.

Confidential, Chicago, IL

AWS/DevOps Engineer

  • Wrote Python scripts with Cloud Formation templates to automate installation of Auto scaling, EC2, VPC and other services.
  • Installed Jenkins on a Linux machine and created a master and slave configuration through a build farm for implementation of multiple parallel builds.
  • Experienced in authoring pom.xml files, performing releases with the Maven release plugins, and managing artifacts in maven internal repository.
  • Configure and managing daily and hourly scheduled snapshots backup and Restore the data from snapshots if needed.
  • Manage Red Hat Linux and Windows virtual servers on AWS EC2.
  • Administered databases using RDS, MySQL and DynamoDB in AWS and executed the DML and DDL scripts.
  • Used AWS CLI to create new instances and manage existing instances.
  • Work with development, testing, deployment and project teams to ensure continuous operation of build and test systems.
  • Deployed code on Tomcat, WebLogic Application Servers for UAT and Development environments.
  • Used Terraform to manage the AWS and other cloud infrastructure. Manage servers using configuration management products like CFEngine or Puppet.
  • Maintaining the security groups in EC2, EC2 VPC and controlling the inbound and outbound traffic that are allowed to reach the instances
  • Automating Web Sphere EAR file deploys through Cruise Control, Jenkins, Team City, and Bamboo.
  • Repeatedly worked on AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, S3, DynamoDB, ElastiCache, IAM, Cloud Formation, OpsWorks, Cloud Watch.


DevOps Engineer

  • Involved in multiple roles in various capacities as a “Build & Deployment Lead” managing and delivering the deployments and as a Infrastructure Engineer accountable for the entire Release/Project New Environment readiness infrastructure design and design of deployment automation framework.
  • DevOps for load balanced environments & Multi-regional server environments (AWS Regional nodes managed via Chef Roles and Ohai Attributes)
  • Managed and worked with various different instances of EC2, creating AMI’s, managing EBS volumes and configuring security groups, elastic ips etc.
  • Knowledge on Auto scaling launch configurations for lower environments and creating auto scaling groups with reusable instance templates for Automated Provisioning on demand on based on capacity requirements.
  • Experience with AWS S3 services creating buckets, configuring buckets with permissions, logging, versioning and tagging.
  • Worked with IAM service creating new IAM users & groups, defining roles and policies and Identity providers.
  • Utilized AWS CloudWatch to monitor the performance environment instances for operational and performance metrics during load testing.
  • Created alarms and trigger points in CloudWatch based on thresholds and monitored logs via metric filters.
  • Written 12 different cookbooks containing multiple recipes to achieve automation for middleware installation, Environment readiness and deployment activities.
  • Utilized all components of cookbooks like recipes, resources, templates, attributes and libraries.
  • Experience with knife command line utility, berkshelf dependency manager and test kitchen to validate my cookbooks.
  • Worked on chef server management console and understanding and working knowledge on all different components of chef server, nodes, workstations.
  • Have implemented chef provisioning for creation of on demand instances and instance infrastructure using the chef-client and bootstrapping using plugins against AWS EC2.
  • Installed & configured Jenkins master that served 30 different slaves supporting 9 different applications with various release life cycles and multiple CI pipelines setup on project branches.
  • Administering Jenkins and secured Jenkins with role-based access controls and matrix-based project access.
  • Setup all different kinds of projects in Jenkins ranging from software to maven style projects and matrix-based projects
  • Experience in Jenkins monitoring external jobs, distributed builds and plugin management.
  • Leveraged several Jenkins plugins to automate tasks like code coverage, metrics, aws-ec2 plugin, and job creation.
  • Deployed J2EE applications to Application servers in an Agile continuous integration environment and also automated the whole process.
  • Implemented a Continuous Delivery pipeline with Docker, and GitHub and AWS.
  • Administration and maintenance of Docker runtime environment, Versioning and lifecycle management of Docker images, Experienced in Docker orchestration framework.

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