Lead Software Engineer - Markets, Java, AI, Spring Boot

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

Preferred qualifications, capabilities, and skills

• Proven experience in financial markets, Futures & Options, and Trade Execution/Clearing
• Knowledge of AMPS (messaging platform), MQ, Cucumber Integration Tests, JUnit, Mockito, and Testcontainers