Sr Java Backend Developer

Role Overview

We are seeking a Senior Backend Software Engineer to join our Engineering team. This role is designed for a high-performance developer who thrives in a fast-paced environment and is focused on the modernization of our core loan verification and bank ingestion systems.

The ideal candidate does not just write code—they leverage an aggressive coding approach and modern AI-assisted development workflows (e.g., Cursor) to deliver high-quality, scalable solutions at an accelerated pace.

Key Responsibilities

• System Modernization: Architect and implement scalable, resilient microservices-based backend systems to modernize legacy loan verification and high-volume bank data ingestion pipelines.
• High-Velocity Development: Execute an aggressive coding strategy, prioritizing rapid delivery while maintaining a deep grasp of algorithms, data structures, and object-oriented design patterns.
• AI-Augmented Engineering: Fully integrate AI development tools (e.g., Cursor ) into the daily workflow to maximize productivity and ensure high-quality, optimized output.
• Technical Excellence: Design and maintain robust APIs and services using the Java and Spring ecosystem (Spring Boot, Hibernate, JPA).
• Distributed Systems: Build and manage event-driven architectures utilizing JMS and cloud-native services.
• Security & Reliability: Implement secure Authentication and Authorization protocols at the service level to ensure data integrity in a high-traffic environment.

Required Qualifications

• Core Expertise: Expert-level proficiency in Java and the Spring ecosystem (Spring Boot, Hibernate, JPA).
• System Design: Extensive professional experience in backend engineering within high-traffic, distributed environments and microservices architecture.
• Cloud & Data: Proven experience implementing cloud services (e.g., Cloud Functions , Dataflow ) within GCP or AWS .
• Database & Messaging: Hands-on expertise with relational databases and NoSQL/Caching solutions such as Firestore , Redis , or MemoryStore , alongside experience with JMS and Event-Driven Architecture.
• AI Tooling: Advanced proficiency in using Cursor or similar AI-native IDEs to maximize individual productivity and output quality.
• Security: Depth of experience implementing service-level Authentication and Authorization protocols.

Preferred Skills ("Good to Have")

• Fintech Experience: Prior experience with payment processing flows, Loan processing flows, bank connection vendors (like Plaid ), or working in a highly regulated financial environment
• DevOps Mindset: Experience with containerization (Docker/Kubernetes) and CI/CD pipelines to support a high-velocity delivery model.