Software Engineer with 3+ years of experience building backend systems and financial applications using Java, Scala, and Spring Boot. I build REST APIs, distributed processing components, and secure transaction workflows to improve performance and reliability. I’ve supported real-time financial transaction systems across multiple critical workflows, optimized event/data processing to reduce lag, and deployed containerized services using Kubernetes and CI/CD pipelines—while addressing security findings and ensuring audit compliance.

Sai Chaitanya Chaitanya Pabboju

Software Engineer with 3+ years of experience building backend systems and financial applications using Java, Scala, and Spring Boot. I build REST APIs, distributed processing components, and secure transaction workflows to improve performance and reliability. I’ve supported real-time financial transaction systems across multiple critical workflows, optimized event/data processing to reduce lag, and deployed containerized services using Kubernetes and CI/CD pipelines—while addressing security findings and ensuring audit compliance.

Available to hire

Software Engineer with 3+ years of experience building backend systems and financial applications using Java, Scala, and Spring Boot. I build REST APIs, distributed processing components, and secure transaction workflows to improve performance and reliability.

I’ve supported real-time financial transaction systems across multiple critical workflows, optimized event/data processing to reduce lag, and deployed containerized services using Kubernetes and CI/CD pipelines—while addressing security findings and ensuring audit compliance.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Advanced

Work Experience

Software Engineer at BNY Mellon
February 1, 2026 - Present
Implemented C++ and FIX Protocol multithreading components for trade processing to handle high-frequency orders and high-volume trade messages with stable real-time latency. Deployed Kubernetes and Helm release pipelines, delivering 6+ production releases with zero rollback incidents using rolling deployments. Refactored Scala/Akka Streams distributed modules to improve real-time data handling and reduce processing lag across event streams by aligning with platform teams. Secured Java Spring Security services for financial transaction workflows, remediating 40+ security findings while maintaining internal audit compliance.
Software Engineer at Dell Technologies
December 1, 2022 - December 31, 2023
Developed Java Spring Boot microservices and Hibernate-based systems processing millions of transactions daily, improving reliability and throughput and enabling automated CI/CD pipelines via Jenkins. Designed scalable data solutions with Go and Kafka for monitoring and insights to 25+ global stakeholders, reducing downtime. Engineered REST APIs secured with OAuth2, integrating 8 enterprise systems using AWS services to reduce data retrieval time and improve performance. Optimized MySQL and SQL Server queries/stored procedures to automate reporting, reducing reporting time from days to hours. Built React + TypeScript dashboards for real-time visualization used by 15+ internal teams. Led AI-driven feature development with Jupyter, PyTorch, and Docker, delivering 5 AI-powered features.
Software Engineer at ADANI
June 1, 2021 - December 31, 2022
Built backend applications using Java, Azure Functions, DynamoDB, and Node.js supporting 50K+ active users across 5+ markets, improving reliability and uptime. Developed NLP models with Python, spaCy, and TensorFlow to automate document classification and save 100+ hours per month. Architected backend systems with Java, Azure Functions, and Kubernetes; implemented CI/CD pipelines reducing deployment time by 5 hours per cycle. Collaborated on GraphQL APIs using Node.js, PostgreSQL, and Elasticsearch supporting 10+ enterprise applications and reducing query response time from ~20 seconds to under 3 seconds. Built an automated testing framework with JUnit and Selenium, reducing manual QA by ~10 hours weekly. Implemented customer segmentation predictive models using XGBoost and LightGBM for engagement across a 30K+ customer base.

Education

Master of Science, Computer at University of North Texas, TX
January 1, 2024 - December 31, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Computers & Electronics