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

Posted 2 days ago

jpmorgan chaseChicago (IL)

Software Developers Custom Computer Programming Services

SENIORITY

Lead

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About the role

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 inJava, Spring, Springboot, Maven, Kafka, and modern web technologies such asReactStrong knowledge of cloud platforms such asAWS , Lambda, ECS, EC2, and TerraformProficiency in automation and continuous delivery, including CI/CD tools such asGitHub ActionsandAWS Code PipelineAdvanced 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 asAgiledevelopment, 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 ofAMPS (messaging platform) , MQ, Cucumber Integration Tests, JUnit, Mockito, and Testcontainers

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