Vamsi Krishna Chunduru

Led the DevSecOps and SRE efforts for a comprehensive HR and staffing applicant tracking system (ATS) application designed to streamline recruitment processes. I implemented robust CI/CD pipelines using Jenkins, GitLab CI, SonarQube, and Ansible, automating testing and deployments across multiple environments. Leveraging AWS services like EKS, EC2, and S3, I architected a scalable, highly available infrastructure while ensuring seamless integration between microservices using Kubernetes and Helm.

I incorporated security into the development lifecycle by integrating Trivy and checkov for vulnerability scanning and enforced best practices for AWS IAM policies, VPC configuration, and data encryption (both at rest and in transit). As part of SRE, I set up proactive monitoring with AWS CloudWatch, Prometheus, and Grafana, ensuring real-time alerts and minimal downtime. Additionally, I developed self-healing mechanisms for auto-scaling and optimized resource utilization to maintain performance.

This project required team collaboration to ensure security, scalability, and reliability while reducing deployment times and improving operational efficiency.

Headed DevSecOps and SRE efforts to build and optimize a large-scale system for managing patient records, vaccination tracking, and appointment scheduling. I implemented an automated CI/CD pipeline using Jenkins, GitLab CI, and Ansible to streamline deployments and testing across environments. Leveraging AWS services like EC2, RDS, Lambda, and S3, I developed a scalable infrastructure capable of handling large volumes of sensitive health data securely and efficiently.

Using EKS and AWS Fargate, I containerized microservices to ensure high availability and scalability during peak traffic. Security was a top priority, with continuous vulnerability scans via Trivy and checkov, strict IAM policies, and data encryption at rest and in transit using AWS KMS and SSL/TLS protocols for HIPAA compliance. I also implemented AWS WAF to block SQL injection and DDoS attacks.

Monitoring and observability were established using AWS CloudWatch, Prometheus, and Grafana to ensure real-time insights. Auto-scaling and failover strategies were implemented to maintain system uptime and reliability.

Conducted multiple webinars in collaboration with the learning and development team, targeting over 1,500 attendees worldwide. I also ran hands-on workshops at engineering colleges in partnership with IEEE, earning the IEEE Special Recognition Award for developing and maintaining the IEEE Hyderabad website. Additionally, I received various awards for my contributions, including Learning Achievement, Technical Excellence, Best Team, On the Spot, Special Initiative, CLP Faculty, Star of the Month, and Champions of ILP.

Beyond these, I have trained over 3,000 individuals globally on AWS and DevOps, empowering them with in-demand technical skills. These webinars and workshops helped spread knowledge on DevOps, cloud technologies, and the latest tools, enhancing participants' skills and improving their career prospects. My work within these projects not only earned awards but also left a lasting impact on many professionals in the tech industry.

Served as the DevSecOps eEngineer for a financial transaction security and monitoring system, focusing on infrastructure automation and secure CI/CD pipelines. Using Terraform, I automated the provisioning of AWS infrastructure, including VPCs, subnets, security groups, and RDS databases. This enabled scalable, highly available environments while ensuring compliance with PCI-DSS regulations. I also used Ansible to automate configuration management and service deployment across environments, ensuring consistency and reducing manual errors.

For the CI/CD pipeline, I implemented Jenkins, GitLab, and SonarQube for automated code integration, testing, and deployment. Security checks with Trivy and checkov were integrated to continuously scan code and infrastructure for vulnerabilities, ensuring only secure code reached production.

To enhance monitoring, I integrated AWS CloudWatch and Prometheus for real-time tracking of metrics and security incidents. Automated rollbacks were implemented in the CI/CD pipeline to enable rapid recovery from any deployment issues. This setup optimized deployments, ensured security, and minimized downtime for financial transactions.