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

JPMorganChase; Chicago (IL); On-site; USD 138,000 - 185,000; Full time

Job summary

JPMorganChase in Chicago, IL is seeking a Lead Software Engineer for Markets to advance our trusted market-leading technology products. You will lead the design and delivery of scalable, secure software in a fast-paced, agile environment.

The role emphasizes expertise in Java, Spring Boot, AI, React, and data platforms, with strong collaboration across teams to modernize platforms using AWS and CI/CD practices.

Qualifications

• 7+ years of software engineering experience.
• Hands-on design, development, testing, and stability.
• Expert in Java, Spring, Springboot, Maven, Kafka, and React.
• Strong knowledge of AWS, Lambda, ECS, EC2, and Terraform.
• Proficiency with CI/CD tools like GitHub Actions and CodePipeline.
• Ability to lead teams and deliver complex projects.
• Experience with Agile practices, code reviews, automated testing, and documentation.

Responsibilities

• Design, develop, and troubleshoot innovative software solutions.
• Lead adoption of technologies like Java, Spring, React, and Kafka.
• Develop secure, high-quality production code and review others' code.
• Define and drive technology roadmap focusing on data, analytics, and automation.
• Utilize AI, ML, and advanced analytics for real-time trade processing.
• Improve stability by eliminating recurring issues and automating processes.
• Build data pipelines and analytics workflows using Python, Databricks, Spark.
• Develop web applications and dashboards with modern stacks (React, Angular).
• Optimize data models, ETL/ELT processes, and integration frameworks for large financial data.
• Ensure data quality, security, lineage, and governance across platforms.
• Promote enterprise AI-assisted engineering practices and standardized validation.

Skills

Java

Spring

Springboot

Kafka

React

AI

Data pipelines

Tools

AWS

Terraform

GitHub Actions

CodePipeline

Databricks

Spark

Job description

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

Chicago, IL, United States

Locations: 10 S Dearborn St, Chicago, IL, 60603, US

Job Schedule: Full time

Base Pay/Salary: Chicago,IL $137,750.00-$185,000.00

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