Lead Java Engineer: Low-Latency Liquidity Trading

Aumni; Columbus (OH); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorganChase is seeking a hands-on Lead Software Engineer (Java) to advance liquidity trading services for corporate clients within Morgan Money. You will design, build, and operate secure, high-performing Java services while collaborating with trading stakeholders to drive measurable business outcomes.

Role emphasizes production releases, strong testing practices, and enterprise AI-assisted engineering to improve code quality and delivery speed in a fast-paced environment.

Qualifications

• 5+ years of production-grade Java backend experience.
• Experience delivering low-latency distributed systems.
• Proficiency with Spring and modern Java tooling.

Responsibilities

• Translate business objectives into durable, measurable technical outcomes.
• Design, build, and operate low-latency Java backend services with focus on scalability and security.
• Own end-to-end delivery of features from design through production release.
• Drive architecture decisions to improve performance, reliability and maintainability.
• Establish disciplined engineering practices including automated testing, code review and CI/CD.
• Improve observability and incident readiness with logging, metrics, tracing and diagnostics.
• Lead adoption of enterprise AI-assisted development tools with secure validation.
• Leverage SDLC tools to maximize automation and value.

Skills

Java backend development

Spring framework

Low-latency systems

Distributed systems

Testing & CI/CD

AI-assisted tooling

Secure-by-design

Code review

Observability

Kafka

Tools

Kafka

CI/CD pipelines

Observability platforms

Cloud platforms

AI-assisted development tools

Job description

JPMorganChase is seeking a hands-on Lead Software Engineer (Java) to advance liquidity trading services for corporate clients within Morgan Money. You will design, build, and operate secure, high-performing Java services while collaborating with trading stakeholders to drive measurable business outcomes.

Role emphasizes production releases, strong testing practices, and enterprise AI-assisted engineering to improve code quality and delivery speed in a fast-paced environment.