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Sr. Devops Engineer Resume

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Austin, TexaS

PROFESSIONAL SUMMARY:

  • Industrious DevOps Engineer wif a solid background in software engineering paired wif in - depth noledge of setting up CI/CD pipelines and scripting deployment activities. Well-rounded and conscientious professional committed to proactively managing projects and quickly deploying critical applications. Expertise in configuration management and Agile, Scrum and Waterfall methodologies.
  • Over teh years, I have worked in AWS and GCP environments wif different infrastructures as code frameworks, configuration management, and orchestration tooling. Driven to wear many software project management hats wif expertise in creating everything from new mobile applications to new web applications.
  • DevOps
  • Amazon Web Services (AWS)
  • Python
  • Scripting
  • Linux
  • Jenkins
  • Deployment
  • Docker
  • Ansible
  • Kubernetes
  • Extensive experience using Jira, Confluence, Git, Eclipse, Maven, Gradle, Selenium, JUnit, Jenkins, Bamboo, Puppet, Chef, Ansible, Saltstack, New Relic, Sensu, Terraform, MySQL, Splunk, Nagios, Unix/Linux Operating Systems, AWS, and GCP.
  • Knowledge of Linux and Scripting languages (Python etc.).
  • Proficient wif various development, testing and deployment tools - Git, Jenkins, Docker, Kubernetes, Puppet, Chef, Ansible, Nagios.
  • Good understanding of DevOps key concepts like Infrastructure as Code (IaC).
  • Experience in developing Continuous Integration/Continuous Delivery (CI/CD) pipelines.
  • Good hands-on noledge of cloud platforms (AWS, GCP)
  • Proficient in Git and Git workflows.

PROFESSIONAL EXPERIENCE:

Sr. DevOps Engineer

Confidential | Austin, Texas

Responsibilities:

  • Develop and maintain automated CI/CD pipelines for code deployment using Jenkins.
  • Maintain Git workflows for version control (Source Code Management).
  • Provision Servers and deploy features using Puppet/Chef/Ansible.

Sr. DevOps Engineer

Confidential | St. Louis, MO

Responsibilities:

  • Built and deployed Docker containers for implementing Microservice Architecture from Monolithic Architecture.
  • Orchestrated Docker container cluster using Kubernetes/Docker Swarm.
  • Managed end-to-end execution of software projects dat span multiple engineering teams.

DevOps Engineer

Confidential | St. Louis, MO

Responsibilities:

  • Set up CI/CD pipelines for Microservices and integrated tools such as Maven, Bitbucket, SonarQube, Nexus, Docker, Slack for providing immediate feedback to development teams after

    code check-in.

  • Wrote Ansible playbooks from scratch in YAML. Installing, setting up & Troubleshooting Ansible, created and automated platform environment setup.
  • Implemented teh setup for master slave architecture to improve teh performance of Jenkins.

DevOps Engineer

Confidential

Responsibilities:

  • Developed a top to bottom automation solution to provision data-centers in on-premise AWS Stacks using Ansible and Terraform.
  • Implemented CI/CD, facilitating a streamlined deployment pipeline for dozens of different projects, including GitLab, Jenkins, and CircleCI. Utilized Docker, registry, and multi-stage builds.
  • Architected and implemented multi-tier hybrid cloud AWS infrastructure for a new project for a high-scale testing framework.

DevOps Engineer

Confidential

Responsibilities:

  • Worked mainly on automated tasks using Python; a notable example was automating teh testing of our customers' deliveries—previously this was manual, and after automation, we reduced teh testing from two weeks to one day.
  • Migrated teh whole infrastructure to an auto-scaling and highly available architecture in a month which reduced teh cost by 25%.
  • Implemented CI/CD wifout downtimes and user's interruptions using CircleCI.

DevOps Engineer

Confidential | Austin, TX

Responsibilities:

  • Designed and developed continuous deployment pipeline, integrating Git, Jenkins and Chef across geographically separated hosting zones in AWS and Google compute.
  • Created automation and deployment templates for SQL and NoSQL databases.
  • Wrote custom monitoring and integrated monitoring methods into deployment processes to develop self-healing solutions.

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