Devops Engineer Software Development

Pavan Reddy Bommareddy

DevOps Engineer

+1-980-***-**** ***********.******@*****.*** Jersey City

LinkedIn: linkedin.com/in/pavanreddyb

DevOps Engineer with 5 years of IT industry experience and a strong background in application development and support. Specialized in software development, automation, configuration management, and AWS. Proficient in Jenkins, AWS infrastructure setup, and Python scripting. Skilled in deploying web applications using AWS Beanstalk, managing AWS services, and utilizing DevOps tools like Ansible and Chef. Experienced in maintaining high availability and performance of Linux and Windows servers on AWS. Adept at using Kubernetes for application testing and debugging. Strong knowledge of AWS core services, Git, and Bitbucket repositories. Holds a Master's in Computer Science. Exceptional problem-solving skills and a proactive approach to incident and change management.

Professional Experience

T MOBILE December 2019 - February 2022

Devops Engineer

Configured and automated Jenkins Build jobs for Continuous Integration, utilizing plugins like Jenkins EC2, AWS Code Deploy, AWS S3, and Jenkins Cloud Formation.

Implemented Terraform for scalable and reproducible AWS infrastructure management. Developed Python scripts for automating AWS services, simplifying stack creation and deployment.

Utilized AWS Beanstalk for deploying web applications in various server environments.

Employed DevOps tools like Ansible and Chef for cloud-based server deployment and configuration management.

Configured Chef Server and authored scripts for automated application deployment, significantly reducing deployment time.

Used Kubernetes for application testing and debugging.

Demonstrated expertise in AWS core services, AWS CLI, and Git/Bitbucket repositories for version control.

Collaborated with Agile development teams to implement and operate best practices for Agile Scrum methodologies.

Played an active role in Sprint planning, Daily Standups, Sprint Reviews, and Sprint

Retrospectives, ensuring the seamless integration of DevOps practices into the Agile workflow.

Implemented and configured SonarQube for code quality analysis, enabling continuous monitoring and improvement of codebase health across projects.

Utilized SonarQube reports to identify and address code issues and vulnerabilities, contributing to enhanced software reliability and security.

TARGET September 2016 - December 2019

Devops Engineer

Managed and improved build infrastructure for global software development teams, including CI/CD setup and deployment tools.

Implemented AWS solutions, including EC2, S3, RDS, IAM, Redshift, Lambda, and Cloud Formation templates.

Designed and managed public/private cloud infrastructures on AWS, ensuring high availability using Elastic Load Balancing (ELB).

Automated OpenStack & AWS deployments with Terraform and Ansible, provisioning highly available EC2 instances.

Utilized Docker for containerization, scaling, and deployments, and developed Ansible playbooks for recovery processes.

Developed Chef Cookbooks for system configuration and maintained them on Git repositories and Chef Server.

Set up Jenkins builds for CI/CD, used ELK Stack for log maintenance, and tracked issues in JIRA.

Wrote Shell and Perl scripts for code deployment and notifications.

Participated in Agile Scrum ceremonies, including Sprint Planning, Daily Standups, Sprint Reviews, and Sprint Retrospectives, to align DevOps activities with development goals.

Collaborated with development and operations teams to implement and optimize Agile Scrum methodologies, streamlining the delivery pipeline.

Education

Masters in Computer Science June 2023

Sacred Heart University

Key Skills

DevOps Tools: Docker, Jenkins, Ansible, Kubernetes, Terraform, Puppet, SonarQube, Chef

Monitoring Tools: New Relic, Dynatrace, Prometheus

Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, OpenStack, GCP

Version Control: Git

Operating Systems: Linux, Windows

Scripting: Bash, Shell scripting

Programming Languages: Python, Java, Go

Web Servers: Nginx, Apache, TomCat

Agile Methodologies: Scrum

Database: SQL, MongoDB

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