Lead Software Engineer, Trading Technology

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​

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 Trading Technology, 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.

Job responsibilities

• Work alongside a team of technologists to develop and deploy applications that meet business and functional requirements.
• Contribute to the design and implementation of microservices in Java, applying streaming, non-blocking, and reactive programming techniques under the guidance of senior team members.
• Use technologies such as Kafka, IBM MQ, Kubernetes (K8s), Redis cache, MSK, and AWS to build and maintain scalable services.
• Support the team's adoption of domain-driven design principles and take part in architectural discussions.
• Assist in producing technical documentation, including service APIs using Swagger, and help implement logging, auditability, security, and monitoring features.
• Take part in API design sessions and help evaluate design patterns proposed by the team.
• Write test cases using TDD/BDD approaches and participate in code review sessions, both as a reviewer and reviewee.
• Help validate the scalability of services using mock testing frameworks and other tools.
• 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 

• Bachelor's degree in Computer Science or a related field, or equivalent experience.
• Working knowledge of Java programming, with a self-assessed proficiency of 5 out of 10 or higher, and a willingness to engage in hands-on coding.
• Formal Training and certification on software engineering and 5+ years of applied experience 
• Exposure to distributed architecture systems involving large data volumes or real-time distribution.
• Familiarity with CI/CD, DevOps tool chains, and a test-driven approach to agile delivery.
• Exposure to middle-tier data caching solutions (e.g., Redis, Gemfire, Apache Ignite) and/or messaging-based solutions (e.g., Kafka, IBM MQ) is a plus.
• Understanding of modern architectures based on microservices, REST APIs, databases, SQL, non-SQL stores, and event-based architecture.

Preferred qualifications, capabilities, and skills 

• Exposure to the Spring framework and AWS cloud services.
• Familiarity with trading systems and the FIX protocol is an added advantage.
• Willingness to take on complex problems with support from senior team members.
• A constant learner, open to adopting new technologies and methodologies as the team evolves.