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Rajesh Pabboju

@rajeshpabboju

Senior DevOps Engineer at Mastercard who improved multi-region Kubernetes uptime to 99.99% and cut deployment times by 65%.

United States

Message

At Mastercard, I designed a multi-region AWS EKS cluster supporting 100+ microservices and improving uptime to 99.99%. I also implemented Argo CD and GitLab CI workflows that reduced production deployment times by 65%.

Previously, I standardized CI/CD pipelines for HIPAA-compliant applications at Centene Corporation and built Jenkins pipelines for enterprise applications at Wipro Technologies. My work has included Terraform-based AWS infrastructure, Kubernetes platforms, and DevSecOps pipelines; I hold AWS Associate certifications and am pursuing the AWS DevOps Engineer Professional and CKA certifications.

Experience

Work history, roles, and key accomplishments

Current

Senior DevOps Engineer

Current

Mastercard

May 2025 - Present (1 year 5 months)

Designed a multi-region AWS EKS cluster supporting 100+ microservices, improving uptime to 99.99% and reducing failover recovery time. Implemented GitOps workflows with Argo CD and GitLab CI, reducing deployment times by 65%.

AWS Amazon EKS Terraform ArgoCD Gitlab CI Kubernetes Docker Datadog Prometheus SonarQube Checkov DevSecOps AutoScaling SPOT Instances

DevOps Engineer

Centene Corporation

Jan 2023 - Dec 2023 (11 months)

Created and managed Jenkins shared libraries to standardize CI/CD pipelines across 5 development teams for HIPAA-compliant healthcare applications, increasing release frequency from bi-weekly to daily. Managed containerized workloads using Docker and AWS ECS, ensuring secure, HIPAA-compliant runtime environments.

Jenkins Docker AWS ECS Ansible IAM Python BASH HIPAA CI CD

Cloud & DevOps Engineer

Wipro Technologies

Jun 2019 - Dec 2022 (3 years 6 months)

Built and maintained Jenkins CI/CD pipelines using Maven and Git for Java-based enterprise applications, reducing manual build errors by 85%. Led migration of legacy monolithic applications to microservices architecture using Docker, improving scalability and reducing deployment overhead.