Corporate and Investment Banking (CIB) - Payments

As a Software Engineer 3 at JP Morgan Chase, I lead the development of scalable, cloud-native systems for financial applications. My work focuses on designing microservices architectures using Java 17, Spring Boot, and Reactive Core, optimizing systems to handle high-volume transactions efficiently with dynamic responses in Protobuf and JSON.

A core aspect of my role is performance optimization, where I’ve significantly improved system efficiency using CockroachDB by designing efficient queries and leveraging Java Streams for JVM-side processing, resulting in sub-20ms response times. I’ve also implemented L1 and L2 caching with ehCache and Redis, reducing database load and enhancing API performance.

I’ve deployed services to AWS EKS, managing Kubernetes configurations, including ingress, egress, and resource quotas, while maintaining high availability with 8 replicas per service. I contributed to migrating on-prem services to AWS, ensuring scalability and reliability.

Key accomplishments include modernizing the Reference-Data-Service to meet Java Spring Boot standards, developing granular POST APIs using Docker and Redis, and creating a shadow AWS namespace for parallel API development. I also led a full reactive refactor using Mono, improving scalability and system performance.

Additionally, I built a custom monitoring system using Java Scheduler, providing real-time alerts with follower reads to minimize impact on live traffic. I integrated a GraphQL API gateway to streamline data access for external applications.

Working closely with cross-functional teams, I’ve driven the development of resilient, high-performance systems and mentored junior engineers, fostering continuous improvement across our platforms.

At Comcast, I was part of an enterprise customer onboarding initiative, developing backend systems for Xfinity Internet and Sky Cable UK using Java 8, Spring Boot, and Redis on AWS. I built and maintained RESTful APIs, ensuring scalability and reliability to handle large volumes of data. I also developed Python scripts for system maintenance tasks and automated CI/CD pipelines using Concourse, Docker, and SonarQube for code quality assurance.

In addition to backend development, I focused on implementing comprehensive unit tests with Mockito and JUnit to maintain high code coverage and ensure robust performance. I also worked on performance monitoring and alerting using Grafana, Datadog, and CloudWatch, contributing to the stability and efficiency of Comcast’s systems.

At American Express, I contributed to the modernization of a core Amex application, transitioning from microservices running on mainframes to a distributed stack. My focus was on designing and implementing efficient solutions to meet the scalability needs of enterprise systems.

Key Responsibilities:

Frontend Development: Developed interactive and visualization-rich front-end components using Angular 8, TypeScript, and JavaScript, creating intuitive user interfaces that aligned with business objectives.

I contributed to the development of a core internal Amex application, building rules for global risk and compliance. I worked across multiple technologies such as Java, Node.js, and Python, creating custom frameworks to automate manual processes and enhance data visualization. Additionally, I developed new RESTful APIs and supported the migration of Java modules to Python for machine learning components, ensuring seamless integration with stable UI components.

Key Responsibilities: