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Aws Devops Engineer Resume

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IrvinG

SUMMARY:

  • Expertise in Amazon Cloud and its Services AWS EC2, VPC, EBS, AMI, snapshots, Auto scaling, Cloud Formation, Lambda, SES, SQS, SNS, RDS, ELB, EBS, Cloud Watch, S3 etc.
  • Managed all CI/CD tools and their usage, process ensuring traceability, repeatability, quality, and support.
  • Strong experience in creating Jenkins CI/CD pipelines. Experience on Administration of Jenkins server - Includes setup of Jenkins Masters, Configure builds, and deployment automation.
  • Experience in automated build, delivery and release of the software.
  • Designing and implementing container orchestration systems with Kubernetes.
  • Experience in installation and configuring Kubernetes and clustering them.
  • Worked on Configuration management tools like Ansible, Chef and Salt stack for continuous delivery.
  • Experience with Docker Containerization. Collaborated with development support teams to setup a continuous delivery environment.
  • Experience on Application Management Performance tools like New Relic in integration of Application with monitoring for complete insight and proactive monitoring.
  • Experience in deploying and configuring Elastic search, Log stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.
  • Developed, maintained, and distributed release notes for each scheduled release.
  • Experience in managing the release processes, application health check analysis, keeping track of production metrics.

TECHNICAL SKILLS:

Languages: Groovy, Python, Bash Shell, SQL, HTML, CSS

Build Tools: Jenkins and Maven

Infrastructure as service: AWS- EC2, ELB, RDS, EBS, Cloud Formation, Auto Scaling, S3, Redshift

Configuration Management: Ansible, Chef and Puppet.

Repo Management: Kubernetes, Docker.

Monitoring: New Relic, ELK Stack.

Project Management Tools: JIRA & Confluence

API Management tools: Apigee

Version control tools: GIT/ GITHUB

Database: MySQL & Oracle

PROFESSIONAL EXPERIENCE:

Confidential, Irving

AWS DevOps Engineer

  • Developed continuous deployment multi-branch pipelines for numerous mobile applications integrating GIT, Jenkins, AWS.
  • Designed and Implemented CI (Continuous Integration) system, configuring Jenkins servers, Jenkins nodes, creating required scripts (groovy)
  • Configuring infrastructure for deployment of Middleware application through APIGEE
  • Designed and developed AWS Cloud Formation templates to create custom VPC to ensure deployment of web applications.
  • Developed Blue/green deployment strategy by creating new applications which are identical to the existing production environment using Cloud Formation templates.
  • Wrote JSON and YAML templates for cloud formation and groovy scripts and contributed to our repository on GitHub.
  • Managed the Code Repository by maintaining code in GIT, improve practices of branching and code merge to custom needs of development team.
  • Maintained JIRA, Confluence.

Environment: GitHub, Jenkins, AWS lambda, AWS EC2, Cloud formation, Apigee, Cloud watch, S3, Kinesis, Auto-scaling, Load Balancing, Groovy and Jira.

Confidential, Atlanta

DevOps Engineer

  • Contributed to the development and maintenance of automation tools used in the management of our infrastructure.
  • Responsible for performing tasks like Branching, Tagging, and Release Activities on Version Control Tools like SVN, GIT.
  • With the help of IAM created roles, users and groups and attached policies to provide minimum access to the resources.
  • Configured Kubernetes cluster and supported it running on the top of the CoreOS.
  • Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
  • Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker.
  • Wrote Ansible Playbooks to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python.
  • Created AWS S3 buckets, performed folder management in each bucket, managed cloud trail logs and objects within each bucket.
  • Created and maintained documentation of systems and processes for existing and new systems.
  • Work with product operations team to resolve trouble tickets, developing and running scripts, and troubleshooting services in a hosted environment

Environment: AWS, Kubernetes, Docker, GIT, Jenkins, Virtualization, Maven, Ansible, New Relic, ELK stack.

Confidential, Houston

DevOps/ Site Reliability Engineer

  • Automated Ansible Configuration deployment using Jenkins to use GIT Repo instead of local files.
  • Configured Amazon EC2 instances and provisioned storage to them using S3 buckets
  • Used Terraform for building, changing, and versioning infrastructure safely and efficiently.
  • Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation
  • Contribute in developing best practices for infrastructure as code, specifically with configuration management and infrastructure orchestration.
  • Built Docker images to create tomcat-based application environments on demand.
  • Used Docker to virtualize deployment containers and push the code to EC2
  • Used Ansible to Setup of ELK stack (Elastic Search, Logstash, Kibana)
  • Installed and configured various Jenkins jobs for application deployment and test cases execution.
  • Used Jenkins for CI and CD purposes and build failure alerts and management of various build tool plugins.

Environment: AWS, Ansible, Terraform, Jenkins, GitHub, Docker, Kubernetes, New Relic, ELK Stack and Python.

Confidential

AWS Cloud Engineer

  • Developed Cloud Formation scripts to build on demand EC2 instance formation.
  • Utilized AWS CLI to automate backups of ephemeral data-stores to S3 buckets and EBS.
  • Created nightly AMIs for mission critical production servers as backups.
  • Configured and maintained the monitoring and alerting of production and corporate servers/storage using Cloud Watch.
  • Migrated applications from internal data center to AWS.
  • Encrypted data on server and client side.
  • Scaled distributed in-memory cache environment in the cloud using Elastic cache.
  • Managed automated backups and created own backup snapshots when needed.
  • Provided installation & maintenance of Puppet infrastructure and developed Puppet manifests & modules for configuration management.

Environment: Java, EC2, S3, ELB, CloudFormation, CloudWatch, RDS, Jenkins, GIT.

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