Poojashree V S

KEY PROJECT: Retail Inventory and Order Management System • Built and optimized GitLab CI/CD pipelines for 26 microservices, reducing the application deployment cycle from approximately 45 minutes to less than 10 minutes. • Implemented GitOps-based release workflows to standardize deployments, improve release consistency, and support faster rollback during production changes. • Containerized and deployed 26 microservices on Amazon EKS, managing Helm deployments, Kubernetes rolling updates, and autoscaling for a platform serving 1M+ monthly users. • Automated AWS and Azure infrastructure provisioning with Terraform, improving deployment repeatability and reducing manual configuration across environments. • Optimized cloud resource utilization through right-sizing and capacity tuning, contributing to an approximately 20% reduction in infrastructure costs. • Implemented Datadog monitoring and alerting for application and infrastructure signals, reducing mean time to detect by more than 50%. • Integrated SonarQube and security-scanning controls into the delivery process, supporting release quality and contributing to 99.9% production uptime. • Standardized Helm-based application configuration and deployment patterns across services, improving release consistency and simplifying environment-specific changes. • Strengthened deployment readiness through pre-release validation, rollback checks, and close coordination with development and QA teams during production releases.

STARLITE INFOTECH LIMITED

KEY PROJECT: E-commerce Platform • Managed and improved CI/CD automation using Jenkins and GitHub Actions for catalog, cart, order, and payment microservices, reducing deployment time by approximately 40%. • Provisioned AWS infrastructure using Terraform across VPC, Amazon EKS, ALB, EC2, S3, DynamoDB, Route 53, and IAM services. • Automated server provisioning and application configuration with Ansible, reducing environment setup effort from hours to minutes.• Implemented production monitoring with Prometheus, Grafana, and AWS CloudWatch to track API latency, order failures, infrastructure health, and Kubernetes issues. • Developed Bash and Groovy automation for application health checks, log rotation, backup validation, and artifact cleanup, reducing repetitive operational work. • Supported application releases and production deployments by troubleshooting pipeline and deployment issues and coordinating readiness with development, QA, and security teams. • Contributed to the migration from monolithic architecture to microservices by standardizing DevOps automation, infrastructure provisioning, and deployment practices. • Established reusable CI/CD patterns, environment configuration conventions, and deployment checklists that improved consistency for new services and release cycles. • Improved production troubleshooting by correlating pipeline output, application logs, infrastructure metrics, and Kubernetes events to isolate deployment and runtime issues faster.

INTECHFY SOLUTIONS PVT. LTD.