Sr Lead Software Engineer – Java & Trading Platform
About The Position
As a Senior Lead Software Engineer at JPMorganChase within Asset & Wealth Management, you will work as an integral member and technical leader of an agile team building and enhancing secure, stable, scalable, market-leading technology products. You will deliver business impact through deep technical expertise and problem-solving across multiple technologies and applications, balancing hands-on engineering with team leadership and strategic direction. The role focuses on Java-based trading applications and microservices supporting the order lifecycle, including order management, FIX routing, execution, allocation, and booking. You will guide architecture and design for a multi-asset trading platform, promote domain-driven design, and contribute production code using streaming, non-blocking, and reactive techniques. You will also oversee code quality, testing, documentation, operational stability, and adoption of approved AI-assisted engineering practices, including secure and responsible use and validation of AI outputs. You will serve as a subject matter expert in trading systems and FIX connectivity, advocate for firmwide frameworks and SDLC practices, and mentor junior engineers. The role is within J.P. Morgan Asset & Wealth Management, which provides investment management and private banking solutions across a broad spectrum of asset classes.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Deep knowledge and expertise in Java programming, with willingness to engage in hands-on coding.
- Proven track record building distributed architecture systems, especially systems involving large data volumes and real-time distribution.
- Strong understanding of CI/CD, DevOps toolchains, and test-driven agile delivery, with hands-on experience.
- Experience with middle-tier data caching solutions such as Redis, Elasticsearch, or Apache Ignite, and messaging solutions such as Kafka or IBM MQ.
- Knowledge of modern microservices architectures, REST APIs, SQL and NoSQL stores, event-based architecture, and practical cloud-native experience.
- Experience leading effective use of enterprise-authorized AI-assisted software development tools for activities such as coding, code review, test acceleration, and troubleshooting; 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, secure handling of inputs and outputs, and security and resiliency expectations; experience coaching senior engineers or leads on compliant usage patterns and controls.
- Ability to independently address design and functionality problems with little to no oversight.
- Proven ability to mentor, groom, and guide junior team members and foster a collaborative, growth-oriented environment.
Nice To Haves
- Hands-on experience with the Spring framework, including Spring Boot and WebFlux/Project Reactor, and AWS cloud services such as EKS, MSK, and Aurora.
- Experience in trading systems across the order lifecycle, including order, execution, allocation, and booking; knowledge of OMS and EMS; familiarity with FIX and engines such as QuickFIX/J is an advantage.
- FINRA certification, such as Series 57 or Series 24, is an advantage.
- Ability to solve complex, mission-critical problems internally and externally with a hands-on approach.
- A constant learner and early adopter of leading-edge technologies and methodologies who actively seeks opportunities to apply new knowledge.
Responsibilities
- Lead and engage a team of technologists, contractors, and vendors to develop and deploy trading applications aligned with business and functional requirements.
- Design and implement Java microservices using streaming, non-blocking, and reactive programming techniques; write production code and review and debug others’ code.
- Use technologies including Kafka, IBM MQ, Kubernetes, Redis, MSK, and AWS to build scalable systems across the trading order lifecycle, providing strategic direction and hands-on support.
- Drive adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards for security, peer review, automated testing, and reuse of proven patterns and automation.
- Use SDLC toolchain capabilities, including approved AI-assisted development and automation, to improve the value realized from automation at scale.
- Drive adoption of domain-driven design and make decisions influencing product design, application functionality, and technical operations for a multi-asset platform covering equities, fixed income, and mutual funds.
- Oversee and contribute to technical documentation, including service APIs using Swagger/OpenAPI, and ensure robust logging, auditability, security, and monitoring.
- Lead API design sessions, guide selection of design patterns, and contribute directly to design.
- Lead code review sessions and provide sign-off; promote maintainability through TDD/BDD and demonstrate service scalability through mock testing, simulation, and automated regression.
- Serve as a function-wide subject matter expert in trading systems and FIX connectivity, and advocate for firmwide frameworks, tools, and SDLC practices.
- Mentor, groom, and guide junior team members, supporting their professional growth and development.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Competitive total rewards package; eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
