# Jyothi Priya S. > Software Engineer | 4+ Yrs in Microservices, Cloud & Event-Driven Systems | Cut API Latency 28% | AWS | React | Kafka Location: Austin, Texas, United States Profile: https://flows.cv/jyothipriyas Software Engineer with 4+ years of experience building scalable backend and full-stack applications in fintech and enterprise environments. Strong background in Java, Python, Spring Boot, microservices, and REST API development, with hands-on experience delivering secure, high-performance systems. Currently at Citigroup, I work on cloud-native, event-driven platforms supporting risk scoring and transaction validation, improving API latency, real-time data processing, and system observability. Experienced with AWS, Azure, Docker, Kubernetes, CI/CD pipelines, and monitoring tools. Skilled in React and Angular for frontend integration, database design with PostgreSQL and MySQL, and asynchronous messaging using Kafka and RabbitMQ. Passionate about clean, testable code, performance optimization, and using AI-assisted tools to improve development efficiency. ## Work Experience ### Software Engineer @ Citi Jan 2024 – Present • Orchestrated microservices for Citi’s risk-scoring and transaction-validation pipelines using Spring Boot, Spring MVC, and Spring Security (JWT), reducing API latency by 28% and strengthening fraud-detection request handling across high-volume trading channels. • Integrated event-driven integrations with upstream pricing and customer-profile systems using Kafka, enabling near-real-time data propagation and cutting reconciliation delays by 35% for regulatory and risk-reporting teams. • Developed front-end modules in React.js and Redux, building secure dashboard workflows for AML/KYC case investigators and increasing case-resolution efficiency by 22% through optimized API orchestration and UI state management. • Delivered containerized risk-evaluation workloads to AWS EKS with CloudFormation templates and EC2 autoscaling rules, improving compute cost efficiency by 18% while ensuring compliance with Citi’s internal cloud-security standards. • Enhanced platform observability by configuring centralized monitoring using the ELK Stack, authoring structured logging patterns and correlation IDs, which reduced incident triage time by 33% across distributed microservices. • Accelerated delivery through GitHub Actions CI/CD, GitHub Copilot, and Chat GPT API–driven AI-assisted code generation, cutting code review effort by 25% and improving test coverage via automated JUnit pipelines and static analysis. ### Software Engineer @ Zensar Technologies Jan 2022 – Jan 2023 • Spearheaded scalable backend services using Java, Spring Boot, and Spring Data JPA for customer-account and policy-management systems, cutting API response times by 27% and improving SLA adherence across high-traffic production workloads. • Crafted interactive React.js UI components and operational dashboards integrated with REST APIs, reducing manual processing effort for support and billing teams by 30%. • Architected and implemented event-driven architectures with RabbitMQ, enhancing asynchronous workflows for notifications, batch processing, and insurance quote lifecycles, resulting in a 35% improvement in throughput during peak usage. • Deployed and optimized cloud-native components on AWS (API Gateway, RDS, DynamoDB, SES) to establish secure, automated data flows, decreasing infrastructure overhead by 20% and enabling fully automated customer communication pipelines. • Strengthened system reliability by configuring Grafana and AWS CloudWatch dashboards, custom alerts, and traces, reducing incident detection time by 40% while improving test stability through Mockito unit tests integrated within GitLab CI/CD. ### Junior Software Engineer @ Fusion Software Technologies Jan 2020 – Jan 2021 • Established enterprise-grade UI modules using Angular, TypeScript, and Tailwind CSS, integrating them with REST and GraphQL services to reduce page load time by 22% and improve task completion efficiency for internal operations teams. • Built backend components with Java, Spring MVC, and Spring Batch to automate data ingestion and nightly reconciliation workflows, lowering manual processing effort by 40% and increasing batch reliability across systems. • Enhanced data performance by optimizing relational models, indexing strategies, and stored procedures in PostgreSQL, achieving a 30% decrease in query execution time for reporting and billing APIs under production load. • Containerized microservices using Docker and enabled consistent multi-environment deployments via Jenkins CI/CD, reducing release cycle time by 25% and improving deployment stability. • Improved development quality using Test-Driven Development (TDD), executing comprehensive unit and integration tests with Postman and CI pipelines, and maintaining detailed design documentation in Confluence, boosting defect detection by 35% before UAT. ## Education ### Master of Science - MS in Information Technology Arizona State University ### Bachelor's degree in Computer Science Andhra University ## Contact & Social - LinkedIn: https://linkedin.com/in/jyothipriyasureddi --- Source: https://flows.cv/jyothipriyas JSON Resume: https://flows.cv/jyothipriyas/resume.json Last updated: 2026-04-16