Top Software Engineer Jobs

In this role, the Applied AI ML Senior Associate will develop models and systems for the bank's operations, applying NLP and machine learning expertise to solve complex business problems and generate insights. They will contribute to product development, act as a trusted advisor, and promote continuous learning within the organization.

As a Lead Software Engineer at JPMorgan Chase, you will develop creative software solutions and enhance trusted technology products. You'll be responsible for coding, debugging, and improving software operational stability while leading evaluation sessions with teams and vendors. Proficiency in programming languages, cloud experience, and agile methodologies is essential.

As a Lead Software Engineer, you will develop and deliver technology products focused on cloud services, ensuring high-quality production code and architecture design while leveraging big data for AI/ML initiatives. You will be responsible for troubleshooting, maintaining algorithms, and driving improvements in coding and system architecture, collaborating within an agile team to enhance software applications.

As a Software Engineer III, you will design, develop, and troubleshoot software solutions, ensuring high-quality production code and system architecture. Your role involves analyzing data insights for continuous software improvement and contributing to engineering communities while fostering an inclusive team culture.

As a Software Engineer II at JPMorgan Chase, you will design, develop, and troubleshoot software solutions in an agile team environment, focusing on secure and high-quality code in Python. You’ll analyze large data sets, apply software development life cycle processes, and contribute to team diversity and inclusion.

As a Senior Principal Cybersecurity Architect, you'll lead cybersecurity strategy and development for products and applications, translating complex issues for leadership, creating reusable frameworks, and driving technical innovation in cybersecurity solutions across businesses.

The Data Management VP will oversee data governance, manage data risk management tooling, drive innovation through AI/ML and RPA, and collaborate with cross-functional teams to implement intelligent automation solutions. The role includes developing predictive models and ensuring compliance while managing multiple high-impact initiatives.