Principal Java Developer

RE Partners•New York, NY

12h•Hybrid

About The Position

We are seeking an experienced and opinionated Principal Java Engineer to join our high-performing engineering team, working on low latency, high-throughput systems in the payments processing domain. This hybrid role is based in the NY and offers the opportunity to build scalable, real-time services using modern technologies. If you’re passionate about performance, have strong Core Java and SpringBoot expertise, and thrive in a collaborative yet opinionated engineering culture, we want to hear from you.

Requirements

10+ years of experience in Java development with a focus on performance and memory optimization.
Proficient in Mongo, Spring and microservice-based architecture.
Proven experience with low-latency, high-throughput applications (sub-millisecond response times a plus).
Hands-on experience deploying applications on Red Hat OpenShift and/or Kubernetes.
Strong cloud experience with AWS services such as ECS, EKS, Lambda, S3, etc.
Strong communication skills and a bias toward action and opinionated design decisions.

Nice To Haves

Familiarity with messaging systems (Kafka, RabbitMQ, etc.)
Prior experience in Payments Processing, financial services, or banking systems.
Exposure to container security and performance tuning on OpenShift.
Knowledge of payment gateways, ISO 20022, or SWIFT formats.

Responsibilities

Design, develop, and optimize low-latency, high-throughput backend systems using Java.
Build and maintain RESTful APIs and microservices that power secure payment workflows.
Work with messaging standards and protocols commonly used in financial transactions.
Deploy, monitor, and scale applications in Red Hat OpenShift and AWS cloud environments.
Integrate with MongoDB and other NoSQL/SQL datastores for real-time data management.
Collaborate with DevOps, Product, and QA teams to ensure production-grade solutions.
Drive architectural changes, advocate for best practices, and provide mentorship to peers.
Drive performance tuning, fault tolerance, and observability improvements across services.