Vidhya Sagar Reddy Gontu

About Vidhya Sagar Reddy Gontu

I’m a results-driven Linux Systems administrator & DevOps Engineer with 6+ years of…

Experience

1. Senior Linux System Administrator

   Visys Cloud Technologies

   Jul 2023 — Present · McKinney, TX, US

   Senior Linux & DevOps Engineer | AWS | Terraform | CI/CD | Kubernetes | AutomationArchitected and deployed multi-region AWS infrastructure (VPC, EC2, S3, RDS, EKS/ECS) for highly available, fault-tolerant systems. Automated infrastructure provisioning and configuration using Terraform and AWS CloudFormation, ensuring consistency, scalability, and faster delivery. Migrated legacy on-prem workloads to AWS and Hetzner with zero downtime.Led CI/CD pipeline development with Jenkins, GitLab CI, Docker, Groovy DSL, and evaluated CircleCI for container workflows. Deployed and managed Kubernetes clusters (EKS, OpenShift) with Helm, RBAC, and secure container lifecycle practices. Migrated workloads to AWS Fargate, optimizing container management and costs. Implemented Docker multi-stage builds to reduce image size and speed up deployments.Integrated serverless workflows using AWS Lambda and Python modules connected to CI/CD. Automated OS patching with AWS Systems Manager and Ansible. Conducted security audits, CIS hardening, container image scanning, and penetration testing to strengthen infrastructure security.Configured VPC Peering, VPN tunnels (AWS ↔ Hetzner), managed DNS with Route 53, deployed NGINX reverse proxies and HAProxy for load balancing and HTTPS support. Managed SSL/TLS using AWS ACM and custom Certbot setups.Implemented CloudWatch, Prometheus, Grafana, and ELK Stack for full-stack monitoring, logging, and proactive incident response. Built automated backup and disaster recovery strategies (S3, EBS, Route 53 failover, ELBs) for high availability and data integrity.Collaborated with Agile/Scrum teams using JIRA for sprint planning, backlog grooming, and client demos. Created reusable Terraform modules and CloudFormation templates for standardized infrastructure. Drove GitOps adoption for ML workflows and collaborated with ML teams on reproducible deployments.