Balchander Reddy Savireddy

About Balchander Reddy Savireddy

At AWS Hyperplane, Amazon, I focus on building scalable, highly available distributed systems supporting core AWS services such as Network Load Balancer, NAT Gateway, Private Link, S3, and Lambda. My contributions include developing distributed in-memory storage for connection tracking and optimizing NFV components to manage AWS-scale workloads. My work emphasizes resiliency, performance, and fault tolerance to ensure seamless service delivery to millions of customers. After earning a Master’s degree in Information Technology from Indiana Institute of Technology, I have specialized in cloud services, distributed systems, and Transmission Control Protocol (TCP). With expertise in C programming and cloud-native development, I aim to contribute to impactful, innovative solutions as part of a collaborative and forward-thinking team.

Experience

1. Software Development Engineer

   Amazon

   Dec 2024 — Present · Seattle, WA, US

   At AWS Hyperplane, I built scalable, highly available distributed systems powering core AWS services like NLB, NAT Gateway, Private Link, S3, and Lambda. I developed distributed in-memory storage for connection tracking and optimized NFV components to handle AWS-scale workloads. My work focused on resiliency, performance, and fault tolerance, ensuring reliable service for millions of customers. Built and optimized large-scale distributed systems powering AWS services like Network Load Balancer, NAT Gateway, Private Link, S3 and Lambda ensuring high availability and low latency at AWS scale. Developed distributed in-memory object storage systems for connection tracking, enabling fast, fault-tolerant state management across thousands of nodes. Implemented NFV (Network Function Virtualization) solutions to support programmable and elastic network services with minimal operational overhead. Designed and tuned fault-tolerant, highly available platforms with automated recovery, replication, and leader election mechanisms to ensure four-nines availability. Improved scalability of core networking components by optimizing data-path flows, reducing packet drops, and enhancing throughput under heavy workloads.

Education

• Indiana Institute of Technology

  Master's degree, Information Technology

• Jawaharlal Nehru Technological University

  Bachelor's degree, Computer Science

  2019