We provide IT Staff Augmentation Services!

Aws Devops Engineer Resume

5.00/5 (Submit Your Rating)

Mountain View, CA

PROFESSIONAL SUMMARY:

  • A dedicated, assertive and qualified Technology Professional.
  • 3 years of experience as AWS Cloud Engineer and DevOps Engineer .
  • Full understanding of SDLC, Agile Methodologies and process .
  • Currently working in CI/CD environment to merge the developed code with Master branch (CI) and code is ready to ship to next level (CD) .
  • Created and wrote Shell Scripts (Bash) and Python Scripting to automate the process .
  • Experience in large environments using configuration management tool Chef .
  • Experience with Jenkins/ Maven deployment and build management system.
  • Hands on experience in using the build and deployment tool like Maven and Jenkins .
  • Experience as a Build and Release Engineering in automating, building, deploying, and releasing of code from one environment to another environment.
  • Experience with and thorough understanding of automated implementation/deployment of a cloud based infrastructure (Web apps, Application Service Environments, firewalls, load balancers, storage, monitoring, security, DNS etc.)
  • Application Deployments & Environment configuration using Ansible, Chef, Puppet.
  • Experience in using bug tracking systems like JIRA and Rally.
  • Having knowledge in Amazon EC2, S3, VPC, RDS, Elastic Load Balancing, Autoscaling, IAM, SQS, SWF, SNS, Security Groups, Lambda, Cloud Watch services .
  • Installation, Configuration and management of RDBMS and NOSQL tools like MySQL, Oracle and Dynamo DB .
  • Experience in branching, monitoring and tagging the version across the environments using tools like Git, SVN .
  • Excellent communication and interpersonal skills with good team spirit.

TECHNICAL SKILLS:

Versioning Tools: Git, SVN

CI/CD Tools: Jenkins

Configuration Management Tools: Chef, Puppet

Cloud: AWS (EC2, VPC, EBS, S3, IAM, RDS, AMI, SQS, SNS, Dynamo DB, Cloud Watch).

Database: Oracle, Dynamo DB, MySQL

Scripting Languages: Shell Scripting, BASH, SQL, Python

Web Technologies: HTML, Java Script, JSP, XML

Operating System: RedHat Linux, Windows, Unix

Build and Deployment tools: Maven

PROFESSIONAL EXPERIENCE

Confidential, Mountain View, CA

AWS DevOps Engineer

Environment: EC2, VPC, S3, IAM, ELB, Auto Scaling, Cloud Watch, JSON, Python script, Shell script, Jenkins, Maven, GIT, GitHub, Chef and Linux servers.

Roles & Responsibilities:

  • Worked with IAM to manage the users and groups by assigning individual policies and roles to each users and group as per requirements .
  • Assisted in Desig ning high availability environment for Application servers and database servers on EC2 by using ELB and Auto - scaling.
  • Developing scripts for build, deployment, maintenance and related tasks using Jenkins, Docker, Maven, Python and Bash.
  • Used CLOUDWATCH for monitoring AWS cloud resources and the applications that deployed on AWS by creating new alarm, enable notification service.
  • Worked on CI/CD tools Jenkins and GIT version control system for continuous smooth code release process.
  • Integrated Jenkins with GitHub private repositories, build Automation tools ( Maven and Ant), and Artifact repository for pushing successful build code.
  • Used Chef to manage Web Applications, Config Files, Database, Commands, Users, MountPoints, and Packages.
  • Worked at optimizing volumes and EC2 instances and created multiple VPC instances.
  • Experience in designing and deploying AWS Solutions using EC2, S3, EBS, Elastic Load balancer (ELB), auto-scaling groups and OpsWorks.

Confidential

AWS DevOps Engineer

Environment: EC2 Instances, VPC, ELB, Auto Scaling, Cloud Formation, MYSQL, S3, SNS, Jenkins, GIT, GitHub, Maven, Ant, Chef, Cloud Watch, Shell script.

Roles & Responsibilities:

  • Experience in designing and deploying a multitude applications utilizing AWS( EC2, S3, EBS, ELB(Elastic Load Balancer), Auto-Scaling groups ) and OpsWorks .
  • Used AWS Ops Works to automate configuration, deployment, scaling and monitoring of systems.
  • Rapid and fluid deployment of infrastructure via Cloud Formation Template.
  • Manipulated Cloud Formation Templates and upload to S3 Service and automatically deploy into an entire environment.
  • Created EC2 instances, configured security groups and Cloud Formation.
  • Created multiple MySQL VMs with specific configuration in cloud formation Template programming.
  • Worked with Topic / Subscription based notification routing via SNS service.
  • Integrated developer work code using GIT version control system.
  • Configured CI/CD tools Jenkins, Maven, Ant and GitHub repository for the continuous smooth build process.
  • Working with GitHub private repositories and plugin it to Jenkins.
  • Configured Chef for quickly deploy and maintain environment such as apache configuration and file level permissions.
  • Created and maintained Jenkins jobs that execute s Shell scripts for automation.

Confidential

Associate Software Engineer

Environment: AWS EC2, S3, Cloud Formation, Dynamo DB, VPC, IAM, Tomcat Apache, Cloud Watch, Git, Linux, Jenkins, Maven, Chef .

Roles & Responsibilities:

  • Involved in automating the entire flow by using CI/CD process once developer checks in code to dev branch to merge into Staging and Production with proper QA certs .
  • Involved in developing auto-scaling architecture which works both in EC2 and on-premises data centers.
  • Used Jenkins, Chef and Shell scripts to automate the code deployment and continuous integration .
  • Involved in Linux system administration and performance tuning.
  • Wrote Shell and Python scripts to automate package installation and web server configuration.
  • By using AWS created core services like EC2 .
  • Installed applications on AWS EC2 instances and configured storage on S3 buckets.
  • Created AWS VPC to create public-facing subnet for webservers with internet access, backend databases and application servers in private-facing subnet with no internet access.
  • Created and configured S3 so that developing team can perform CRUD operations by using AWS SDKs .
  • Used CLOUDWATCH to actively monitor stats from all services in AWS solutions.

We'd love your feedback!