About The Position

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.

Requirements

  • 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

Nice To Haves

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

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
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