Senior Java Full Stack Engineer (Trading Systems) - Chicago, IL

Skill on Tap

Chicago, IL, United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Compensation

$140,000.0 - $150,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Algorithmic Trading Cloud Computing Code Generation Data Architecture MongoDB NoSQL Redis TypeScript Cloud Platform System

+13 more

GitHub Copilot ReactJS Spring-boot Data Layers Containerization AngularJS Kubernetes Cassandra Azure AKS Front End Software Development Restful APIs Docker Microservices

Job description

We are looking for a Senior Java Full Stack Engineer with trading domain expertise to build high-performance microservices and real-time trading interfaces. You will leverage cloud-native infrastructure on Azure Kubernetes Service (AKS) and modern AI tools (GitHub Copilot / Claude) to accelerate delivery., Full Stack Development: Design and deploy high-throughput microservices (Java 17+, Spring Boot) and interactive frontend dashboards (React/Angular). Cloud & Data Architecture: Manage containerized deployments on Azure Kubernetes Service (AKS) and build low-latency data layers using NoSQL databases (MongoDB/Cassandra/Redis). AI-Augmented Workflows: Utilize GitHub Copilot and Claude to streamline testing, code generation, and architectural refactoring. Trading Logic: Implement trade execution, Order/Execution Management Systems (OMS/EMS), and financial protocols (FIX).

Requirements

Core Tech: 6+ years in Java, Spring Boot, microservices, REST APIs, and modern JavaScript/TypeScript frameworks (React/Angular). Cloud & Database: Strong hands-on experience with AKS (Kubernetes, Helm, Docker) and NoSQL databases. Domain Experience: Direct experience in trading systems, capital markets, OMS/EMS, or financial risk platforms. AI Tooling: Active experience using GitHub Copilot, Claude, or similar AI-assisted development tools.