Ganesh Arveti

Cloud DevOps Engineer with internship experience in AWS and Azure cloud environments, specializing in Continuous Integration and Continuous Deployment (CI/CD), Infrastructure as Code (Terraform, CloudFormation), Docker containerization, and Kubernetes (Amazon EKS and Azure AKS). Strong expertise in Linux administration, troubleshooting, and production support. Experienced in implementing AWS IAM roles and policies, applying security best practices, and leveraging AWS Well-Architected Framework principles.

Proven ability to support high-availability and reliable systems with 99.9% uptime and manage deployments for 50K+ users.

DevOps Engineer Intern - Rablo.In - Pune (Remote)

(2025-09 - 2026-01)

• Assisted in CI/CD pipeline implementation as measured by 12-stage pipelines and 25+ microservice deployments by automating workflows using GitHub Actions and Git-based version control.
• Deployed and monitored web applications on AWS as measured by support for 50K+ users and 99.9% uptime by working with EC2, S3, RDS, and VPC infrastructure.
• Implemented Infrastructure as Code (IaC) as measured by 30+ AWS resources provisioned efficiently by using Terraform and CloudFormation.
• Maintained and monitored Linux servers as measured by reduced downtime and improved system performance by performing system updates, server monitoring, and troubleshooting issues.
• Supported system maintenance and incident resolution as measured by faster recovery time and stable production environments by identifying and fixing AWS and Linux-related issues.
• Monitored system performance and uptime as measured by proactive issue detection by configuring AWS CloudWatch dashboards, alerts, and logs.
• Assisted in containerized application deployment as measured by improved scalability and faster releases by using Docker and Kubernetes (Amazon EKS).
• Supported release management and production deployments as measured by reduced deployment failures by collaborating with developers and ensuring smooth releases.
• Collaborated with development teams as measured by efficient code integration and deployment cycles by using Git workflows (branching, merging, pull requests).
• Implemented deployment automation to reduce manual intervention and improve release efficiency

Cloud DevOps Engineer Intern - Abhyaz - Remote

(2025-05 - 2025-08)

• Supported CI/CD pipeline automation as measured by 20+ daily deployments with 95% success rate by building pipelines using Azure DevOps, Jenkins, and Git workflows.
• Deployed and monitored web applications on Azure as measured by 20% faster deployment time by managing Docker containers via Azure Container Registry and App Services.
• Implemented Infrastructure as Code (IaC) as measured by 30% reduction in deployment errors by provisioning environments using Terraform.
• Assisted in container orchestration and scaling as measured by improved application performance by supporting deployments on Azure Kubernetes Service (AKS).
• Monitored system performance and server health as measured by stable production environments by tracking logs, metrics, and resolving bottlenecks.
• Performed system maintenance and backup support as measured by improved data reliability and recovery readiness by assisting in backup processes and system stability tasks.
• Resolved deployment and infrastructure incidents as measured by faster issue resolution time by troubleshooting Linux and cloud-related issues.
• Collaborated with developers as measured by smooth and timely releases by coordinating deployments and resolving integration issues.

DevOps Trainee - Harsha Training - Hyderabad

(2025-01 - 2025-04)

• Built and deployed Kubernetes-based log processing system as measured by handling 5GB+ logs per day across 20+ nodes by implementing ELK Stack on Kubernetes.
• Automated AWS infrastructure provisioning as measured by 60% faster deployment time by creating resources like EC2, S3, RDS, and EFS using Terraform.
• Performed Linux system operations and scripting as measured by improved operational efficiency by writing shell scripts and Python automation.
• Developed CI/CD pipelines as measured by 30% improvement in deployment efficiency by automating build and deployment processes.

B.Tech - Electrical and Electronics Engineering - Annamacharya Institute of Technology and Sciences