Lead Software Engineer - Markets, Java, AI, Spring Boot
JPMorgan Chase · Chicago, United States · 2d ago
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 Bank - Trading Technology 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.
Job responsibilities
- Designs, develops, and troubleshoots creative software solutions, thinking beyond conventional approaches to solve complex technical problems
- Leads the adoption and integration of cutting-edge technologies including Java, Spring, Springboot, React, and Kafka
- Develops secure, high-quality production code, and reviews and debugs code written by others
- Defines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms
- Champions the use of AI, machine learning, and advanced analytics to deliver real-time trade processing applications
- Identifies opportunities to eliminate or automate recurring issues to improve overall operational stability of software applications and systems
- Designs and implements data pipelines, analytics workflows, and reporting solutions using Python, Databricks, and Spark
- Develops and maintains web-based applications and dashboards using modern web stacks (React, Angular, etc.)
- Builds and optimizes data models, ETL/ELT processes, and integration frameworks for large-scale financial data
- Ensures data quality, security, lineage, and governance across all team platforms
- 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 in software engineering concepts with 7+ years applied experience
- Hands-on practical experience in system design, application development, testing, and maintaining operational stability
- Hands-on expertise in Java, Spring, Springboot, Maven, Kafka, and modern web technologies such as React
- Strong knowledge of cloud platforms such as AWS, Lambda, ECS, EC2, and Terraform
- Proficiency in automation and continuous delivery, including CI/CD tools such as GitHub Actions and AWS CodePipeline
- Advanced proficiency in designing scalable, secure, and resilient systems for large-scale data environments
- Demonstrated ability to lead engineering teams, set technical direction, and deliver complex projects
Hands on experience in leading and implementing standard software engineering practices, such as Agile development, code reviews, automated testing, CI/CD pipelines, and documentation
- Proven experience in financial markets, Futures & Options, and Trade Execution/Clearing
- Knowledge of AMPS (messaging platform), MQ, Cucumber Integration Tests, JUnit, Mockito, and Testcontainers