REDDY KUMAR PURUM
Hyderabad
Summary
Results-driven DevOps Engineer with extensive experience at Capgemini Technology Services, excelling in CI/CD pipeline automation and cloud infrastructure management. Proficient in AWS and Azure, leveraging Terraform and Python for infrastructure as code. Adept at collaborating with cross-functional teams to enhance deployment efficiency and troubleshoot production issues effectively.
Overview
8
8
years of professional experience
Work History
DevOps Engineer
Capgemini Technology Services India Pvt. Ltd.
Bangalore
01.2022 - Current
- Implement Azure DevOps CI/CD pipelines with Azure Repos/Git and integrate build, quality, artifact, and deployment stages.
- Build, maintain, and troubleshoot CI/CD pipelines for multiple applications across Linux and Windows distributed environments.
- Design and maintain Bamboo pipelines using Groovy and Pipeline as Code, including build jobs, distributed agents, automated testing, and release workflows.
- Build, maintain, and troubleshoot Docker images and containers and support Kubernetes/AKS deployment environments.
- Automate infrastructure and operational activities using Terraform, Python, Shell scripting, PowerShell, Ansible, and YAML.
- Supported AWS cloud workflows leveraging EC2, S3, IAM, VPC, and CloudWatch for compute, storage, security, networking, and monitoring.
- Create Azure Service Principals for Azure DevOps-to-Azure Resource Manager connectivity and access-control requirements for support.
- Integrated JFrog Artifactory with CI/CD pipelines to manage build artifacts across environments, ensuring streamlined artifact handling.
- Configure Maven builds and integrate SonarQube and Coverity for static code analysis, quality profiles, and quality gates.
- Develop Python-based automation and data-processing workflows involving file handling, validation, transformation, and repeatable batch processes.
- Support ETL/ELT style workflows and cloud data storage concepts, including S3-based application/data storage.
- Deployed applications on Tomcat and Nginx; analyzed logs, investigated failures, performed RCA, and coordinated fixes to enhance application reliability.
- Collaborate with Development, QA, Product Owners, and other stakeholders during releases, incident troubleshooting, and Agile ceremonies.
DevOps Engineer
Thoughtprocess Softtech
Hyderabad
07.2018 - 01.2022
- Deployed and managed Azure Virtual Machines, Web Apps, Storage, Azure Active Directory, Virtual Networks, and Operations Management Suite.
- Created and maintained Kubernetes/AKS clusters to enable efficient container-based application deployments.
- Created Dockerfiles and container images and supported Docker installation, configuration, and troubleshooting.
- Installed and configured Git, Bamboo, Jenkins, deployment, and automation tools for CI/CD environments.
- Configured Azure Load Balancer to ensure application high availability and facilitate cloud infrastructure troubleshooting.
- Configured Maven POM files and integrated Maven with Bamboo for automated build and packaging.
- Maintained Azure Repos and managed branching, tagging, merging, and developer check-in/check-out issues.
- Administered merges, builds, and deployments while managing Jenkins-based automation activities across environments.
- Used Terraform and PowerShell for infrastructure automation and technical activities.
- Supported production issues through log analysis, root-cause identification, troubleshooting, and coordination with development and QA teams.
Education
B.Tech -
JNTU Anantapur
01-2018
Skills
- AWS Cloud Cloud Infrastructure CI/CD DevOps Data Engineering ETL/ELT Python Automation Cloud Storage Infrastructure as Code Docker Kubernetes Terraform Git Jenkins Bamboo Azure DevOps Monitoring Release Management Production Support Root Cause Analysis
- AWS EC2 administration
- AWS S3 management
- AWS IAM management
- AWS networking concepts
- AWS CloudWatch monitoring
- AWS DevOps practices
- Python data automation
- ETL/ELT processes
- SQL database fundamentals
- File data processing
- Cloud data engineering
- Data pipeline monitoring
- Cloud: AWS, Microsoft Azure
- AWS Services: EC2, S3, IAM, VPC, CloudWatch
- Data: Python, Pandas, NumPy, SQL, ETL/ELT, Data Processing
- CI/CD practices
- Version control: Git, GitHub, Bitbucket, Azure Repositories
- Containers: Docker, Kubernetes, Azure Kubernetes Service (AKS)
- Infrastructure automation
- Build & Quality: Maven, SonarQube, Coverity
- Artifacts: JFrog Artifactory
- Application Servers: Tomcat, Nginx
- OS & Tools: Linux, Windows, Jira, FootPrints, ELM, Reqtracer
Personal Information
- Title: AWS CLOUD ENGINEER | DATA ENGINEER | DEVOPS ENGINEER
- Availability: Open to relocation and work from office (WFO)
ADDITIONAL INFORMATION
Languages: Telugu, English, Hindi | Open to relocation and work from office (WFO)
Timeline
DevOps Engineer
Capgemini Technology Services India Pvt. Ltd.
01.2022 - Current
DevOps Engineer
Thoughtprocess Softtech
07.2018 - 01.2022
B.Tech -
JNTU Anantapur