Terraform & AWS: Provisioned VPCs, Subnets, EC2 instances, and security groups, ensuring efficient infrastructure management and scalability using IaC.Docker & Kubernetes: Implemented Docker containers and Kubernetes clusters on AWS, orchestrated with Terraform, leading to a 20% improvement in deployment efficiency.Ansible Automation: Automated MongoDB configurations, handling setup for sharding, backup, restore, and security configurations.CI/CD Pipelines: Streamlined code integration and automated testing through GitOps CI/CD pipelines, reducing deployment times and enhancing code quality.Network Security: Enhanced security and data flow within AWS VPCs through efficient provisioning of VPNs, Subnets, Load Balancers, and DNS with Terraform and Ansible.IAM Role & Policy Configuration: Implemented advanced IAM configurations in AWS, enforcing the principle of least privilege and ensuring compliance with industry standards.Jenkins CI/CD: Implemented CI/CD pipelines using Jenkins and Jenkins plugins to automate build, test, and deployment processes, ensuring rapid and reliable software delivery.Kubernetes Management: Managed Kubernetes clusters for container orchestration, ensuring high availability, scalability, and reliability of applications.Linux Administration: Configured and maintained Linux-based environments for development, testing, and production, optimizing system performance and security.Shell Scripting & Automation: Automated tasks and system administration workflows on Linux servers, improving operational efficiency.System Monitoring: Monitored and maintained system health using Prometheus, Grafana, and ELK stack, ensuring timely detection and resolution of issues, reducing downtime.Technical Reviews & Innovation: Participated in technical reviews, architecture discussions, and planning sessions to drive technical innovation and improvements.

Implemented continuous monitoring using CloudWatch forlogs and metrics across AWS and on-premise servers dedicated to BioTech and Mechanical simulations.• Set threshold alerts resulting in autoscaling, and optimizing resource management accordingly. This initiative led to a notable 25% reduction in downtime and lowered costs for UTARI on AWS.• Ensured server-side encryption for UTARI's Amazon S3 objects using AWS Key Management Service (AWS KMS) customermanaged keys(SSE-KMS). This allowed the organization to create, manage, and control cryptographic keys across applications andAWS services, ensuring compliance with federal and institutional laws and regulations.• In 2022, optimized Institute’s HPC environment CI/CD pipeline stages and workflows using code testing, building, deployment, configuration, and monitoring which helped us save time, reduced deployment errors by 30%., and improve consistency and deliver changes quickly and reliably.• Contributed to the integration of AWS Lambda with other AWS services, learning to leverage Lambda for event-driven architectures and real-time data processing.• Participated in the creation of Docker Images and basic deployments into containers, supporting the streamlining of the deployment process and improving overall deployment efficiency.

AWS Services: Deployed EC2, Route 53, RDS, DynamoDB, SNS, SQS, and IAM-integrated security groups with Elastic Load Balancers for optimal infrastructure security and performance.Monitoring & Patching: Used Amazon CloudWatch and AWS Systems Manager for monitoring and security patching across a 15k-core Enterprise Grid Farm.Security Enhancements: Improved security with Amazon VPC and AWS WAF, protecting customer data on web portals and adding burst capacity for Dev and QA environments.Data Analytics: Sent VPC logs to Splunk and Datadog via Kinesis Data Firehose for data analytics, visualizing trends and detecting anomalies.Machine Learning: Executed ILI Analytics projects with Amazon EC2 clusters and machine-learning algorithms in AWS Lambda.HPC Cost Reduction: Reduced simulation costs by 70% using on-premise resources, Spot-Instance pricing for Amazon EC2, and managed HPC storage with Amazon FSx and AWS ParallelCluster.Automation with Python: Created scripts for file manipulation, data processing, and system monitoring, boosting operational efficiency.Shell Scripting: Managed software installations, updates, and patches with shell scripting, ensuring system security and compliance.Container Monitoring: Monitored Docker containers and Kubernetes clusters with Prometheus and ELK stack, ensuring application performance and health.Terraform IaC: Provisioned and configured AWS resources using Terraform for scalable, secure, and cost-effective infrastructure.Ansible Configuration: Automated deployment and configuration of servers and applications with Ansible, ensuring consistency and reliability.Performance Monitoring: Monitored system performance with Amazon CloudWatch, detecting anomalies to ensure high availability.AWS Lambda: Implemented serverless computing tasks with AWS Lambda, reducing operational overhead.Network Security: Configured AWS Security Groups and Network Access Control Lists (NACLs) for efficient traffic management and security.