SAI THEJA REDDY VELUMULA
Dallas
Summary
Senior Software Engineer with 5+ years of experience building distributed systems and event-driven architectures at Amazon and TCS. Led design of GraphQL and REST API platforms serving 50K+ employees, drove automation in compliance workflows, and built microservices processing millions of events annually. Expertise in system design, cloud infrastructure, and delivering scalable backend solutions.
Overview
7
7
years of professional experience
Work History
Software Development Engineer
Amazon
Dallas, TX
09.2022 - Current
- Built a GraphQL data aggregation platform consolidating 10+ HR systems and serving 50K+ employees with sub-1000ms p99 latency using AppSync pipeline resolvers, DynamoDB caching layer, and CloudAuth integration for centralized authentication.
- Designed RESTful relocation workflow APIs handling case lifecycle for 50K+ employees and processing 150 TPS at peak with Kinesis-based event streaming for real-time status propagation across 3 consumer systems.
- Built an event streaming pipeline for mobility data distribution using DynamoDB Streams, Lambda, and Kinesis with 1-year retention, implementing transformation and filtering logic to enable downstream applications to consume updates asynchronously with replay capability.
- Designed email-to-case automation processing 10K+ monthly emails and supporting 10,999+ annual case creations through an event-driven pipeline using SES for email ingestion, SNS and SQS for reliable message delivery, and Lambda for parsing and routing with idempotent case creation.
- Developed LCA automation platform processing 150 filings per day and reducing manual validation errors by 14% through a Java-based validation framework with slot grouping algorithm and Selenium-based DOL portal submission with automated 2FA and retry logic.
- Architected workflow orchestration infrastructure coordinating async processes across distributed services using a Step Functions-based generic orchestrator with parent-child task management, cross-account callback abstraction via Task Management Service, and AppConfig for dynamic Selenium selector updates.
- Integrated AI coding assistants into development workflow and reduced iteration cycles by 35% through custom tooling integrations and prompt engineering patterns for test generation, API contract design, and code reviews.
- Orchestrated zero-downtime deployments for 50K+ users by implementing ECS Blue/Green canary patterns and AppConfig feature flags with automated CloudWatch-triggered rollbacks.
- Reduced MTTR by 40% by implementing structured logging and custom CloudWatch metrics for p50/p99 latency tracking and DLQ monitoring dashboards.
Assistant Systems Engineer
Tata Consultancy Services
Hyderabad, India
07.2019 - 01.2021
- Built Java and Spring Boot backend services processing 500K+ daily financial records; implemented complex validation logic and optimized database operations using PL/SQL stored procedures to reduce processing time from 4 hours to 45 minutes.
- Developed data migration services with an automated transformation and validation framework, reducing migration error rates by 60% while ensuring zero data loss during system cutover.
- Established a robust testing infrastructure using JUnit and integration frameworks; implemented automated quality gates and regression testing that reduced production defects by 50%.
- Owned the CI/CD lifecycle by building Jenkins and Docker pipelines with automated deployment workflows and rollback mechanisms, successfully reducing deployment failures by 45%.
Education
Master of Science - Computer Science
Indiana University
Bloomington08-2022
Skills
- Java
- Python
- JavaScript
- Go
- SQL
- Spring Boot
- Nodejs
- GraphQL
- React
- JUnit
- Mockito
- Docker
- Kubernetes
- Selenium
- Jenkins
- Git
- AWS
- Kafka
- Kinesis
- SNS
- SQS
- DynamoDB Streams
- PostgreSQL
- MySQL
- MongoDB
Projects
- Distributed Key-Value Store, Developed a fault-tolerant system in Go implementing the Raft consensus algorithm, including modules for leader election and log replication to ensure linearizable consistency.
- Distributed Workflow Orchestration, Built an event-driven system using Apache Airavata and Kafka to coordinate distributed scientific workflows with fault tolerance and task scheduling across multiple compute nodes.
Timeline
Software Development Engineer
Amazon
09.2022 - Current
Assistant Systems Engineer
Tata Consultancy Services
07.2019 - 01.2021
Master of Science - Computer Science
Indiana University