Sai Kumar Email & Phone Number

United States

As a Cloud Network & Infrastructure Engineer, I drive multi-cloud architecture initiatives, optimizing operations for enterprise-level SaaS solutions. By managing AWS IAM, EC2, S3, and VPCs, I implemented automation that reduced manual errors by 40%. Spearheading an IPv4 to IPv6 migration improved network scalability by 25%. Utilizing AWS Auto Scaling, I achieved a 30% reduction in cloud costs. My expertise in AWS Direct Connect and Transit Gateway solutions ensured seamless integration between on-premise and cloud networks, improving uptime by 20%. Through continuous monitoring and incident management, I maintain high system reliability, resolving critical issues within SLA timelines. Part of a cost optimization project. I work collaboratively with clients to ensure their cloud infrastructure is resilient and secure, meeting the highest industry standards.

North Carolina, United States

At Yum Brands, I focused on optimizing Azure IaaS infrastructure by deploying secure virtual networks and automating processes with ARM templates, reducing manual intervention by 50%. I implemented Kubernetes sidecar containers, improving microservices logging and monitoring across clusters. This enhanced the organization’s infrastructure scalability by 20%. Leveraging Azure PIM for role management and security compliance, I centralized access controls, reducing the risk of security breaches. My expertise in Terraform ensured smooth infrastructure updates and versioning, maintaining consistent environments across multiple cloud providers. I also developed robust documentation, streamlining knowledge transfer across teams.

Washington, United States

As a DevOps Engineer for HP, I enhanced CI/CD processes using GitHub Actions, automating build and deployment pipelines that improved deployment speed by 35%. By implementing Terraform and CloudFormation templates, I ensured scalable cloud infrastructure management across Azure and AWS, decreasing infrastructure provisioning time by 40%. I also optimized Kubernetes container orchestration, improving application availability across clusters, which resulted in a 15% reduction in service downtime. Integrating CloudWatch and ServiceNow further improved incident response, reducing MTTR by 20%. My work enabled the automation of infrastructure updates, ensuring consistency across environments from development to production.

Dayton, Ohio, United States

Pune, Maharashtra, India

Master Of Science - Ms, Certificate In Autonomous Systems And Data Science

Master Of Science - Ms, Computer Science

Computer Science