Lead Software Engineer- Java, Financial Trading

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Banking, Global Equity Derivatives Risk Management Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

You will help drive the delivery of a best in class platform that handles real time streaming position and risk management for a wide range of complex financial products. The individual selected for this role will combine a unique mix of strong hands-on development skill, involvement in technical design and architecture decisions, and ability to draw on deep experience to provide technical leadership and mentoring to a new and growing team of technologists.

Job responsibilities

• Design, develop and maintain high-quality Java applications, ensuring clean, efficient and well-structured code.
• Provide technical leadership to a small team, guiding developers on design, implementation, code quality and best practices while ensuring timely and high-quality delivery.
• Build and optimize low-latency, high-throughput components for equities risk systems, ensuring real-time processing and stable performance during peak market loads.
• Apply object-oriented design principles and industry-standard design patterns to create modular, scalable and maintainable systems.
• Adopt Test-Driven Development (TDD) to deliver reliable, well-tested and production ready code.
• Ensure compliance with coding standards, security guidelines and architectural best practices throughout the development life cycle.
• Implement and support CI/CD pipeline principles, enabling automated build, test and deployment workflows
• Monitor, troubleshoot and optimize application performance, ensuring reliability, scalability and efficient resource utilization. 
• Follow Agile principles and actively participate in Scrum ceremonies, supporting iterative and collaborative development and collaborate with cross-functional teams to deliver end to end features and resolve technical issues efficiently.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Java experience with multi-threaded, high-performance backend development.
• Hands-on experience with Spring Boot and Spring Framework, including microservices, REST services and dependency management.
• Ability to lead and mentor a small engineering team in architecture, development and problem-solving. 
• Ability to independently design and implement complex logic, algorithms and workflows for scalable distributed systems.
• Experience in Unix/Linux environments, including shell scripting for automaton and operational tasks.
• Hands-on experience with CI/CD automation and build pipelines (Git, Jenkins, Maven etc..)
• Experience building distributed applications, event-driven systems and real-time processing pipelines.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

 Preferred qualifications, capabilities, and skills

• 10+ years of Java experience with multi-threaded, high-performance backend development.
• Financial markets background, ideally equity trading, market microstructure or front-office trading systems or Financial/Banking experience
• Experience developing applications on AWS Cloud, leveraging services such as Lambda, S3, Glue, Redshift, Step Functions and others to build a scalable and reliable systems.
• Practical experience with FIX protocol, including message parsing, handling and connectivity to trading venues.
• Experience with high-performance messaging and persistence frameworks, such as Chronicle Queue, AMPS or other ultra-low-latency technologies.
• Proficiency with gRPC and high-throughput inter-service communication and Deephaven or similar real-time analytics/data visualization engines.

• Understanding of market reference data, including symbology, pricing, market feeds.