I'm a Java Full Stack Developer with 5+ years of experience building enterprise banking and HR platforms across fintech and e-commerce environments. I specialize in Java, Spring Boot, SQL, JavaScript, and cloud-native AWS services. I thrive on clean backend design, asynchronous processing, and modern open-source frameworks to improve system performance, reliability, and scalability. I routinely contribute within Agile teams to deliver features that align with business priorities, and I enjoy designing scalable, distributed systems for high-volume operations while continually learning and applying best practices in software development.

Ramireddy Singareddy

I'm a Java Full Stack Developer with 5+ years of experience building enterprise banking and HR platforms across fintech and e-commerce environments. I specialize in Java, Spring Boot, SQL, JavaScript, and cloud-native AWS services. I thrive on clean backend design, asynchronous processing, and modern open-source frameworks to improve system performance, reliability, and scalability. I routinely contribute within Agile teams to deliver features that align with business priorities, and I enjoy designing scalable, distributed systems for high-volume operations while continually learning and applying best practices in software development.

Available to hire

I’m a Java Full Stack Developer with 5+ years of experience building enterprise banking and HR platforms across fintech and e-commerce environments. I specialize in Java, Spring Boot, SQL, JavaScript, and cloud-native AWS services. I thrive on clean backend design, asynchronous processing, and modern open-source frameworks to improve system performance, reliability, and scalability.

I routinely contribute within Agile teams to deliver features that align with business priorities, and I enjoy designing scalable, distributed systems for high-volume operations while continually learning and applying best practices in software development.

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Experience Level

Expert
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Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Java Full Stack Developer at Capital One
January 1, 2025 - Present
Built and enhanced full-stack banking applications using Java, TypeScript, JavaScript, and SQL; improved transaction processing efficiency and system responsiveness by 28%. Designed and deployed cloud-native services on AWS, improving application availability by 35% through optimized resource usage, secure configurations, and resilient service architectures. Modernized legacy components with Spring Boot, Hibernate, and React to reduce maintenance overhead by 30% and improve long-term scalability. Collaborated within Agile Scrum teams to deliver features aligned with business priorities.
Software Development Engineer at Amazon
June 1, 2022 - January 1, 2025
Implemented Java multithreading and asynchronous processing with Redis caching to optimize Salesforce data access, improving response times by 20% for internal employees globally. Built Spring Boot REST APIs using DynamoDB and S3 to manage audit logs and attachments, improving data retrieval reliability by 35% across high-volume enterprise communications. Integrated leave communication workflows into microservices, reducing manual approval cycles by 80% and enabling removal of a third-party dependency. Improved system stability by 45% through unit and integration testing (JUnit, Mockito, Testcontainers) and reliable CI/CD deployments. Optimized backend performance using Java Streams and lambdas, reducing code complexity by 50% and improving overall request processing by 30%.
Software Developer at TCS
July 1, 2018 - December 1, 2020
Supported a global Pega servicing platform, resolving 50+ production defects weekly using Tracer, Live UI, and Clipboard, ensuring SLA adherence and uninterrupted business operations. Built Pega activities integrated with Spring Boot Java services through REST connectors for real-time credit history validations and reliable data exchange with multiple external enterprise systems. Implemented decision trees, decision tables, map values, declare expressions, and constraints in Pega, improving credit card eligibility accuracy by 90% across high-volume onboarding cases. Designed Pega UIs and data models to reduce manual effort and improve agent productivity and data integrity.

Education

Master of Science in Computer Science at Syracuse University
January 11, 2030 - May 1, 2022
Bachelor of Technology in Computer Science and Engineering at Vasavi College of Engineering, Hyderabad
January 11, 2030 - January 5, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services