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Information Technology Release Management

Location:
Hyderabad, Telangana, India
Posted:
April 16, 2025

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Resume:

Priyanka Basavaraj

+1-210-***-****

********************@*****.***

PROFESSIONAL SUMMARY

Accomplished IT professional with 8+ years of expertise in Information Technology, specializing in Designing Build Processes, Software Configuration, Build/Release Management, and DevOps/CICD.

Leveraged GitHub's collaborative environment to foster efficient code versioning, review, and seamless teamwork among development teams, promoting code quality and enhancing project outcomes.

Proficiently orchestrated build and release management operations utilizing Maven, Git, and Jenkins ensuring the delivery of high-quality software products.

Championed the implementation and maintenance of GitLab pipelines across diverse projects, guaranteeing seamless Continuous Integration/Continuous Deployment (CI/CD) processes.

Engineered custom pipeline configurations tailored to project-specific demands, optimizing build, testing, and deployment procedures.

Expertise in the DevOps architectural paradigm, driving automation across build platforms and continuous integration systems to boost productivity and accelerate project delivery

Exemplary proficiency in version control systems, including GIT, GitHub, GitLab fostering collaboration and code quality.

Utilized SonarQube to conduct comprehensive code analysis, identifying vulnerabilities and technical debt, thus ensuring the delivery of high-quality, secure, and maintainable code.

Instrumental in configuring and implementing Jenkins, including master-slave setups, to orchestrate and automate diverse build tasks and Continuous Integration workflows.

Fluent in container technologies such as Docker and Kubernetes, adeptly managing containerized applications and optimizing orchestration for enhanced scalability.

Leveraged Docker to encapsulate applications into containers, enabling consistent deployment

across various environments and facilitating seamless integration with Kubernetes orchestration.

Expertly managed Kubernetes clusters, dynamically scaling applications, managing resources, and ensuring high availability, resulting in enhanced performance and reliability.

Notable experience in enhancing automation scripts through Shell scripting tailoring solutions to precise requirements.

Demonstrated leadership in spearheading teams towards the realization of highly available and scalable cloud solutions, underscoring a commitment to excellence.

Utilized Jenkins to automate build processes, design and deploy CI/CD pipelines, and seamlessly integrate code changes throughout the SDLC pipeline.

Integrated Jenkins with tools like Ansible to amplify DevOps capabilities, harnessing the power of Kubernetes to drive efficient CI/CD systems.

Implemented and enforced GitLab controls, policies, and best practices, enhancing security, compliance, and code quality across projects.

Proficiently configured and optimized Amazon EKS clusters, adeptly balancing performance and cost considerations within dynamic environments.

Deep understanding of Kubernetes essentials including pods, deployments, services, and ingress controllers in Amazon EKS environments.

Utilized Ansible to automate configuration management tasks, effectively provisioning and managing servers, and orchestrating infrastructure changes, enhancing system stability and reliability.

Demonstrated expertise in Groovy scripting to optimize CI/CD pipelines within Jenkins, facilitating dynamic and configurable workflows that adapt to varying project requirements, thus enhancing deployment reliability and speed.

Proficiently employed Build Automation tools such as Maven, and MS Build to standardize development processes and enhance project outcomes.

Developed Python scripts using Boto3 to automate AWS resource provisioning.

Showcased aptitude in managing AWS resources including EC2 instances, IAM policies, S3 storage, Lambda functions, and VPCs, harnessing the cloud's power to architect scalable and secure solutions.

Hands-on experience configuring and monitoring applications and servers using Nagios, ensuring high availability and optimal performance.

Implemented Nagios for comprehensive application and server monitoring, promptly detecting issues and ensuring high availability through proactive alerts and notifications.

Utilized Grafana and Prometheus to create interactive dashboards, providing real-time insights into system performance, resource utilization, and application health for informed decision-making.

Exceptional communication and collaboration skills, fostering productive cross-functional teamwork and clear project communication.

Technical Skills:

Operating Systems

Centos, Linux, Ubuntu, Unix and Windows

CI/CD Tools

Jenkins, Docker, Ansible, Chef, and Puppet

Build Tools

Maven and ANT

Source Control Tools

Subversion, GIT and GITHUB

Programing Language

Python, Bash, Shell Scripting

Databases

MongoDB, MySQL, SQL and PostgreSQL

Cloud Technologies

Amazon AWS and Microsoft Azure.

Cloud Infrastructure

AWS with Cloud Formation, Azure with ARM templates and Terraform.

Methodologies

Agile and Waterfall

Web Servers

WebLogic, WebSphere, Apache Tomcat and HTTP

System Monitoring Tools

Nagios, Prometheus & Grafana

Bug Tracking Tools

Jira, Manage Engine, KACE

PROFESSIONAL SUMMARY

LPL Financial, San Antonio, TX Jan 2022 to Till date

Senior AWS DevOps Engineer

Roles & Responsibilities

Configured, monitored, and automated Amazon Web Services (AWS), including deploying content on the AWS cloud platform using EC2, ECS, Elastic Beanstalk, S3, and EBS.

Utilized AWS EMR, Redshift, S3, and Lambda for cloud-based data solutions.

Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC).

Provisioned and monitored Redshift clusters handling large volumes of data from the S3 data lake.

Worked in a multi-cloud environment, implementing solutions on both Azure and AWS, covering IaaS, PaaS, and SaaS services.

Extensively worked with core AWS and Azure services in areas such as compute, networking, and databases.

Installed, configured and tested high-level operating systems, infrastructure, application software, and management tools in both on premise and cloud environments, including AWS and Azure.

Provided architectural guidance to customers for implementing their infrastructure on AWS and Azure, aligning with their timelines.

Collaborated with the Development/Engineering team to create a DevOps platform that met capacity, scalability, and reliability requirements while addressing feature gaps.

Automated AWS and Azure cloud infrastructure using templates like Cloud Formation (CFT), Azure Resource Manager (ARM), and Terraform.

Migrating virtual environments VMWare to Azure cloud using ASR.

Migrated applications to the PKS, GCP cloud.

Employed Terraform as an Infrastructure as Code (IaC) tool to automate end-to-end infrastructure deployment in AWS and Azure.

Leveraged AWS and Azure monitoring services to track resource utilization and address network and application service-related issues.

Scripted in Bash to automate tasks and configure applications on Linux systems.

Managed multiple EC2 instances with Elastic Load Balancing (ELB) and Auto scaling to maintain EMR clusters.

Managed the Kubernetes platform by securing various Namespaces, packaged the Kubernetes deployment using Helm and Charts, developed Docker files for various Middleware like Tomcat, WebSphere and JBoss.

Installed, configured, and managed RDBMS and NoSQL tools like Dynamo DB.

Managed S3 buckets, implemented policy management, and utilized Glacier for storage and backups on AWS.

Implemented AWS encryption methods such as AES-256 and Customer Managed Keys (CMK) for EBS volumes and data in S3 buckets.

Handled S3 versioning and lifecycle management, optimizing cost by moving infrequently accessed data to Glacier.

Collaborated with data engineers to resolve issues with EMR and Airflow jobs.

Created IAM groups and policies to maintain least privilege access for users.

Developed Cloud Formation templates for automated AWS infrastructure provisioning.

Configured views in Amazon Athena to generate reports from data stored in S3.

Conducted performance tuning and query optimization for AWS Redshift.

Established monitors, alarms, and notifications for EC2 hosts using Cloud Watch.

Implemented infrastructure and service monitoring using Prometheus and Grafana.

Performed maintenance and troubleshooting of enterprise Red-hat Open Shift systems.

Managed Docker containers and Kubernetes clusters on the Open Shift platform.

Implemented a Micro Services framework with Spring Boot, NODE.JS, and Open Shift containerization platform.

Experienced in developing Ansible Playbooks to automate the provisioning of the Kubernetes cluster, troubleshooting the Kubernetes Pods which have issues with Persistent Volume Claims.

Created and configured Jenkins jobs for data engineers.

Used Jenkins and Build Forge for Continuous Integration and deployment to Tomcat Application Server.

Proficient in scripting with Bash, Perl, Python, and Ruby on Linux.

Expertise in release automation for .NET technologies to achieve continuous integration and continuous delivery (CI/CD).

Designed IaaS and PaaS solutions for clients migrating from on-premises infrastructure to the cloud.

Strong knowledge of web servers, including IIS 6.0/7.5/8.0, ASP.NET, and web services on Windows environments.

Managed application logs by pipelining them from App Servers to Elastic search (ELK Stack) through Logstash.

Managed Elastic Cloud Computing (EC2) instances with auto scaling, Elastic Load Balancing, and Glacier for QA, UAT, and infrastructure servers for GIT and Chef.

Environment: AWS (EC2, VPC, Elastic Load Balancer, S3, RDS, DynamoDB, CloudFormation, Lambda, CloudWatch, Route 53, SNS, IAM, Step Functions, API Gateway, Elastic Beanstalk), Linux, Windows, PowerShell, AWS CLI, Terraform, Jenkins, Docker, Git.

CGI, India Aug 2016 to Sep 2021

DevOps Engineer

Roles & Responsibilities

Set up AWS Budgets and utilized cost forecasting to proactively manage and control expenses, preventing cost overruns.

Developed and implemented CI/CD pipelines that integrated with Artifactory, enabling automated artifact deployment and release management.

Integrated Git with Jenkins to automate CI/CD pipelines, leading a 30% reduction in deployment time.

Collaborated with developers on pull requests, ensuring thorough code review and adherence to coding standards.

Responsible for creating freestyle as well as scripted pipeline jobs using Groovy script.

Used Sonatype Nexus to store the Artifact needed for development and maintain the versions of Artifacts for future purpose.

Integrated SonarQube with the CI process to analyze the code and publish the results.

Experienced managing release planning and branching strategy of GIT servers and worked on creating repositories in GIT Stash for multiple applications configured GIT repositories in CI setup in Jenkins and Injected Groovy scripts in Jenkins for dashboard and customized email triggers.

Implemented the setup for Master slave architecture to improve the Performance of Jenkins.

Used Jenkins for Continuous Integration and deployment into Tomcat Application Server.

Installing, configuring and administering Jenkins CI tool on Linux machines.

Deploying code to pre-production environment and running the smoke and functional tests.

Setting up new CI/CD pipelines as per the requirement.

Created Docker images using a Docker file, worked on Docker container snapshots, removing images and managing Docker volumes.

Design and implement monitoring and alerting solutions using Nagios.

Automated setting up server infrastructure for the DevOps services, using Ansible.

Scripted Templates for AWS infrastructure as a code using Terraform templates to build staging and production environments.

Designed and deployed a scalable architecture using Docker, Docker compose.

Used Docker swarm in the pre-production environment as a container orchestration tool to experience the distributed environment.

Deployed and managed Kubernetes clusters in production environment using AWS (EKS)

Utilized Kubernetes Ingress for load balancing and service Discovery, optimizing traffic routing between microservices.

Leveraged Kubernetes namespaces and RBAC for improved security and multi-team collaboration across development environments.

Implemented GitOps based continuous delivery, enhancing deployment automation and reducing manual errors.

Worked with Docker, creating Docker images, managing snapshots, and handling Docker volumes.

Created Terraform templates for load balancers, EC2 instances, auto scaling, and monitoring in different environments.

Set up an AWS RDS MySQL DB cluster and connected to it through the Amazon RDS Console.

Built and maintained highly available, secure multi-zone AWS cloud infrastructure using Ansible, AWS Cloud Formation, and Jenkins for continuous integration.

Work with Project Managers, Release Management, Operations Engineering, and Development leads to help and support Agile development for Continuous Integration and Delivery (CI/CD) pipeline automation

Creating highly available and scalable infrastructure in AWS by using various AWS services like EC2, VPC, ELB, RDS, Route53, Security Groups, Network Access Controls, AWS Elastic Load Balance, Cloud Watch, Cloud Formation Templates and Auto scaling.

Understanding of cloud-security technologies (VPC, Security Groups, etc.), secure-cloud configuration, (Cloud Trail, AWS Config), and cloud-permission systems like Identity and Access Management (IAM).

Using Configuration management tool like Ansible to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.

Used Terraforms to launch EC2 instances by writing a configuration file and destroy them if not required.

Used AWS S3 as a Terraform Backend to track all the resources created in a state file.

Utilized Grafana and Prometheus to create interactive dashboards, providing real-time insights into system performance, resource utilization, and application health for informed decision-making.

Environments: AWS, Git, Jenkins, Docker, Docker Swarm, Maven, Ansible, AWS EC2, Terraform, Nexus, SonarQube, Kubernetes

EDUCATION:

BE in Computer Science and Engineering from VTU, Bangalore, India-2016



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