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

About this 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 c...