Lead Software Engineer - Markets, Java, AWS, Spring Boot, Terraform

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 Terraf...