Java Lead Software Engineer - Asset Management Trading

JPMorgan Chase & Co.•New York, NY

3d•$152,000 - $215,000

About The Position

As a Lead Software Engineer in Asset Management Trading Technology, you will design, build, and evolve industry-leading platforms that manage orders and execute trades across diverse asset classes. Working closely with Traders, you will engineer solutions that automate and optimize the order management lifecycle. You will be part of a team that values technical excellence, creative problem-solving, and rapid delivery, where your expertise will directly shape the future of trading technology.

Requirements

Proven hands-on experience designing and building end-to-end software systems.
Strong knowledge of core Java and object-oriented design principles.
Experience with messaging and streaming technologies e.g. Kafka
Solid understanding of modern software architecture and design patterns.
Demonstrated ability to work in a fast-paced environment.
Commitment to building reliable, scalable, and maintainable systems.
Ability to collaborate effectively with cross-functional teams including Traders and Quants.
Passion for code quality, engineering excellence, and elegant solutions.
Dedication to continuous improvement and rapid delivery.
Strong problem-solving skills and creative thinking

Nice To Haves

Experience in financial services or Trading technology.
Knowledge of distributed systems and microservices architecture.
Understanding of observability and telemetry principles.
Interest in financial markets and trading workflows.
Experience mentoring or leading technical teams.
Exposure to low-latency or high-throughput systems.

Responsibilities

Design and engineer scalable, high-performance trading systems across multiple asset classes.
Collaborate directly with Traders to deliver impactful solutions.
Build and develop core Java applications for mission-critical trading platforms.
Architect and implement next-generation messaging and streaming technologies such as Kafka.
Drive technical innovation and contribute creative ideas for platform advancement.
Drive the adoption and scaling of GenAI practices within the software development workflow, bringing creative ideas on how to use AI tooling effectively and reliably.
Lead code reviews and mentor team members to ensure engineering excellence.
Participate in the full software development lifecycle from design through to production.
Focus on continuous improvement and fast, iterative delivery.
Deploy code to production daily with confidence.
Add to team culture of diversity, opportunity, inclusion, and respect