Vamshi Reddy

About Vamshi Reddy

DevOps and Cloud Engineer with 5+ years of experience in multi-cloud architecture, Kubernetes, CI/CD automation, and infrastructure-as-code. Skilled in AWS, Azure, GCP, containerization, DevSecOps, observability, and AI/ML operations. Experienced in optimizing system performance, reliability, and cost efficiency while delivering scalable, secure, and automated cloud-native solutions with a focus on platform engineering and automation.

Experience

1. Devops Engineer

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   Jun 2024 — Present

   Designed and managed scalable cloud infrastructure using Azure Virtual Machines and Terraform, supporting AI-driven financial analytics,conducting requirement-gathering sessions, collaborating with cross-functional teams, and improving uptime, system resilience, performance, and secure delivery of financial services. Built and automated CI/CD pipelines using Azure DevOps, GitHub Actions, and Docker, reducing deployment errors, accelerating release cycles by 15%, ensuring smooth updates across microservices, containerized applications, and production systems while maintaining proper documentation. Deployed containerized applications with Kubernetes on Azure Kubernetes Service, implementing auto-scaling, rolling updates, and disasterrecovery, optimizing resource utilization, reducing infrastructure costs by 12%, and maintaining stable, highly available production and stagingenvironments. Managed AI model pipelines including training, validation, deployment, and monitoring using MLflow and Azure Machine Learning, improving retraining efficiency, update speed, and predictive accuracy by 18%, enabling reliable personalized recommendations for financial services. Configured monitoring, alerting, and observability using Azure Monitor. Automated security checks, standardized operational processes, and maintained workflow documentation, improving system reliability, reducing downtime, and ensuring financial compliance. Collaborated with QA, operations, and documentation teams to implement DevOps best practices, infrastructure-as-code, automated testing, and knowledge sharing, strengthening platform resilience, team efficiency, and sustainable workflows across cloud, AI, and microservice-basedsystems.

Education

• University of Cincinnati

  Master's degree, Information Technology