Principal Java Engineer: Low-Latency Payments Cloud

RE Partners; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

RE Partners in the United Kingdom seeks an experienced Principal Java Engineer to join our high-performing engineering team. You will design, implement, and optimize low-latency, high-throughput backend services in the payments domain, using modern Java and SpringBoot in a hybrid UK-based role.

You will deploy and scale systems in OpenShift and AWS, integrate with MongoDB, and mentor peers while driving architecture and observability across services.

Qualifications

• 10+ years of Java development with a focus on performance and memory optimization.
• Proficient with MongoDB, Spring, and microservice-based architectures.
• Experience with low-latency, high-throughput applications and real-time data.
• Hands-on deploying on OpenShift and/or Kubernetes, plus AWS cloud services.

Responsibilities

• Design, develop, and optimize low-latency, high-throughput backend systems using Java.
• Build and maintain RESTful APIs and microservices powering secure payment workflows.
• Work with messaging standards and protocols used in financial transactions.
• Deploy, monitor, and scale applications in OpenShift and AWS environments.
• Integrate with MongoDB and other data stores for real-time data management.
• Collaborate with DevOps, Product, and QA to ensure production-grade solutions.
• Drive architectural changes and mentor peers.
• Drive performance tuning, fault tolerance, and observability improvements across services.

Skills

Java performance

Microservice architecture

System architecture

High-throughput design

Tools

MongoDB

OpenShift

Kubernetes

AWS (ECS/EKS/Lambda/S3)

Job description

RE Partners in the United Kingdom seeks an experienced Principal Java Engineer to join our high-performing engineering team. You will design, implement, and optimize low-latency, high-throughput backend services in the payments domain, using modern Java and SpringBoot in a hybrid UK-based role.

You will deploy and scale systems in OpenShift and AWS, integrate with MongoDB, and mentor peers while driving architecture and observability across services.