Java AI Backend Engineer

Java AI Backend Engineer Capital Markets Location

Charlotte, NC

Employment Type: W2 Preferred No C2C

Compensation

Pay Rate: Negotiable

Client

Confidential

Position Overview

We are seeking an experienced Java AI Backend Engineer with strong expertise in enterprise backend development, distributed systems, and Capital Markets post-trade platforms.

This role focuses on designing, developing, and enhancing a strategic Trade Confirmations Platform supporting OTC Derivatives and FX post-trade operations. The ideal candidate will possess deep hands-on expertise in Java, Spring Boot, scalable microservices architectures, and high-performance distributed systems.

The candidate will play a key role in building robust confirmation processing solutions across e-Signature, SWIFT, and other electronic confirmation channels while ensuring operational excellence, regulatory compliance, and system scalability.

This position also requires a strong interest in leveraging Agentic AI and AI-assisted engineering tools to accelerate software delivery and modernization initiatives.

Key Responsibilities Backend Development & Distributed Systems

• Design, develop, and maintain scalable backend services using:

  • Java

  • Spring Boot

  • RESTful APIs

  • Microservices Architecture

• Build high-performance distributed systems supporting Capital Markets post-trade workflows

• Develop scalable event-driven integration solutions leveraging:

  • Kafka

  • Messaging systems

  • Enterprise integration patterns

Trade Confirmations Platform Engineering

• Enhance and support Trade Confirmations platforms for:

  • OTC Derivatives

  • FX products

  • Electronic confirmation workflows

• Build confirmation processing components supporting:

  • e-Signature platforms

  • SWIFT messaging

  • Electronic confirmation channels

• Ensure scalability, resiliency, reconciliation, and operational continuity across post-trade systems

Performance Engineering & Data Management

• Optimize backend application performance and scalability

• Work with:

  • Oracle

  • MS SQL Server

  • Redis

• Support caching strategies, high-throughput processing, and low-latency architectures

• Perform system performance validation and load testing using:

  • JMeter

  • BlazeMeter

AI-Enabled Engineering & Automation

• Leverage Agentic AI tools and AI-assisted development practices to improve engineering productivity

• Contribute to automation, modernization, and intelligent workflow initiatives

• Support AI-driven SDLC acceleration and engineering best practices

Risk, Compliance & Operational Excellence

• Ensure systems comply with:

  • Regulatory standards

  • Operational controls

  • Risk management frameworks

• Support production stability, monitoring, troubleshooting, and issue resolution

• Collaborate with Operations, Compliance, Finance, and Engineering teams to deliver enterprise-grade solutions

Required Qualifications

• 8+ to 10+ years of overall IT experience

• Strong hands-on expertise with:

  • Java

  • Spring Boot

  • RESTful APIs

  • Microservices Architecture

• Experience with:

  • Kafka

  • Messaging platforms

  • Distributed systems

  • Event-driven architectures

• Strong database expertise with:

  • Oracle

  • MS SQL Server

  • Redis

• Experience building enterprise-grade backend systems and scalable APIs

• Strong understanding of Capital Markets or Investment Banking platforms preferred

Preferred Skills

• Experience with:

  • OTC Derivatives

  • FX Trading Platforms

  • Trade Confirmations Systems

  • SWIFT Messaging

  • Post-Trade Operations

• Familiarity with:

  • AI-assisted development tools

  • Agentic AI concepts

  • CI/CD pipelines

  • DevOps practices

• Performance testing experience using:

  • JMeter

  • BlazeMeter

Professional Skills

• Strong analytical and problem-solving abilities

• Excellent communication and stakeholder management skills

• Ability to work in fast-paced enterprise financial environments

• Strong collaboration skills across business and technology teams