Shreelaasya V
Java Full Stack Developer | AWS & Cloud Computing | Microservices & Scalable Systems | Problem-Solving Expert
- Role
- Software Development Engineer 1 at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Shreelaasya V
Java Full Stack Developer with 4+ years of experience building scalable, cloud-native…
Experience
Software Development Engineer 1
Dec 2024 — Present · WA, US
Developed fault-tolerant microservices in Java 17 using Spring Boot, applying best practices for stateless design, RESTful APIs, and efficient object mapping with Jackson.• Designed and deployed an automated XML-to-S3 pipeline via Spring Boot microservices, reducing manual handling by 70% and securing seamless API Gateway integration.• Architected robust error-handling frameworks with retry logic, rollback support, and real-time transaction status tracking, reducing system failures by 60%.• Built DynamoDB-backed batch processors with efficient read/write patterns and transactional integrity, optimized cost and latency with conditional writes and pagination.• Integrated AWS Lambda for stateless orchestration tasks and S3 for secure invoice XML storage, improving reliability and throughput.• Led a cross-functional initiative involving Finance and Tax teams to optimize invoice tax validation, resulting in 50% reduced processing time and 99.9% accuracy across $320M+ in annual transactions.• Managed CI/CD pipelines with Maven, Git, and AWS CodePipeline, enforcing automated builds, unit/integration tests, and rollback-ready deployments.• Employed TDD/BDD principles using JUnit, Mockito, and Postman for test automation and contract testing, achieving over 90% code coverage.• Applied security best practices: IAM role-based access, S3 bucket policies, and VPC gateway endpoints, ensuring compliance with internal audit standards.• Spearheaded cross-team technical reviews, authored architectural documentation, and aligned system goals with business stakeholders for a zero-critical-defect launch.• Tuned memory usage and JVM parameters for optimal GC throughput; improved request latency under load by 35% through performance profiling.
Education
University of Missouri-Kansas City
Master's degree
Qis College of Education
Bachelor of Technology - BTech
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