Implemented build release pipeline automation to streamline code compilation, automation testing, and deploying releases to multiple environments with continuous integration tool Jenkins’s plugins and groovy scripting language

Performed multi-tasking jobs like debugging, troubleshooting, job scheduling, networking, health check, monitoring, back up, restore, storage and network management, system orchestration, and deployments within tight deadlines

Utilized JFROG Artifactory integration with Jenkins and integrated large scale web applications into Docker containers, Kubernetes, and server virtualization in the different phases of the software development lifecycle

Collaborated with development, testing, and operations team to enhance the operability of the production server in dynamic work environment using Jenkins configuration, Agile methodologies as an impact of continuous feedback

Extensively utilized services of AWS like EC2, EBS, RDS, Lambda along with Git bash to streamline continuous delivery

Automated and upgraded IT infrastructure tools by deploying Python and bash scripts to improve Business strategy

Monitored alerts with tools like Splunk, Nagios for early detection of problems in applications running on Linux server

Configured and supervised deployments of cloud-based applications into the test and production environments

Developed and implement UNIX shell scripts and SQL queries for gathering data insights and Business reports

Provided subject matter expertise in the areas of cloud computing, Linux system administration, end-to-end configuration management, containerization, orchestration, network and infrastructure security, load balancing, operations, and application monitoring with a data-driven approach by automating the manual tasks in organization

Built computer algorithms to migrate the old legacy applications to the digital technologies using a cloud platform

Managed AWS Infrastructure in the development of new updates to existing infrastructure, improved overall health, performance, efficiency, and uptime of Kubernetes services running in Linux, and automate the deployment pipeline

Translated the customer requirements into technical specification documents like high-level design documents and reviewed the deliverables as per the company specific-coding standards, guidelines, and best practices