Architected and implemented a microservices-based backend infrastructure using Node.js and Kubernetes, supporting 5M+ users; achieved 40% improvement in system scalability and a 25% reduction in deployment time. Led migration of 25,000+ servers from VMware to Windows Azure platform across CH/P and sub-cloud environments, ensuring minimal downtime and FCC compliance. Designed and integrated Redis caching layers, reducing DB load by 30% and improving overall application performance by 10%. Optimized SQL (Postgres) and NoSQL (Redis, MongoDB) databases for 5M+ users. Built high-performance REST APIs using Python and FastAPI, integrating with MongoDB and Redis for real-time data flow across distributed systems. Implemented ELK and Prometheus monitoring enabling real-time log aggregation and anomaly detection for high-throughput APIs. Built RESTful APIs with React components, improving page responsiveness by 25%.

System Engineer at Oracle

August 1, 2024 - August 1, 2024

Implemented automated workflows, security policies, and developer guidelines for AWS cloud environments using Terraform, Ansible, and Kubernetes. Developed Python scripts to manage hybrid cloud clusters across AWS and on-prem. Automated infrastructure and deployment workflows using Docker and Jenkins CI/CD, reducing release cycles by 30%. Managed AWS services (CLI, EC2, VPC, S3, ELB, Route 53, IAM), ensuring efficient cloud operations and resource management. Implemented ELK Stack-based monitoring and centralized log management with real-time metrics visualization for cloud deployments. Resolved incidents and change tickets, improving TAT by 10% and maintaining SLA 99.99%. Built and maintained Dockerfiles to customize images, saving up to 10 hours on deployment. Designed and maintained Python-based APIs and microservices powering analytics and reporting features.