Top Software Engineer Jobs

As a Data Operations Associate, you will manage day-to-day operations for the Foreign Exchange business, handling client onboarding for FX Trading, analyzing Standard Settlement Instructions, liaising with various business groups, and driving process improvements while ensuring quality compliance.

As a Software Engineer III at JPMorgan Chase, you will design and deliver technology products, execute software solutions, maintain production code, and analyze data to improve software applications. You will contribute to team culture, ensure design constraints are met, and explore new technologies.

The Payments Tech Senior Lead - Software Engineer will mentor and manage a high-performance team, ensuring the delivery of technical solutions. Responsibilities include hands-on participation in system design, application development, troubleshooting, and defining technical strategy. The role involves conducting code reviews and collaborating with various technology and QA teams to achieve timely project milestones.

As a Software Engineer III, you will maintain and create microservices using Python and Java, migrate applications to AWS, develop architecture artifacts, and analyze large data sets while improving software systems. You'll also troubleshoot and utilize agile methodologies to enhance operational stability.

In this role, you will develop high-quality code for trading systems at JPMorgan Chase. Responsibilities include writing secure code, collaborating with senior engineers, and engaging with business users to fulfill functional requirements in financial technologies, mainly using Python and React.

Exciting opportunity for a Software Engineer III - Card Data Platform Engineer to enhance data collection, storage, and analytics in a secure and scalable manner. Responsibilities include software solution execution, secure code creation, data platform design, and data pipeline development.

As a Machine Learning Engineer at Chase's Digital Intelligence team, you will utilize machine learning and large-scale computation to enhance customer products. Responsibilities include analyzing complex datasets, developing models, supervising data analysis, and communicating with stakeholders. The ideal candidate holds a Master's degree in Computer Science or related field with 3 years of experience, expertise in machine learning and related areas, and proficiency in core CS concepts.