Top Software Engineer Jobs

As a Security Engineer II at JPMorgan Chase, responsible for executing creative security solutions, developing secure production code, minimizing security vulnerabilities, and providing technical guidance. Proficient in Java and experienced in AI/ML, cloud computing, and threat assessments. Involved in the entire Software Development Life Cycle with exposure to agile methodologies and cloud infrastructure as code.

As a Software Engineer II at JPMorgan Chase within the Workforce Technology Team, responsible for maintaining business processes, consulting on HCM Talent Management, Oracle OTBI and HDL/HSDL experience, ensuring security and release processes, and completing functional testing of enhancements.

As a Risk Modeling - Machine Learning Associate, you will develop and implement machine learning and statistical models while collaborating with cross-functional teams. Your responsibilities include model evaluation, data manipulation, and management of the modeling lifecycle to enhance risk management in banking.

As a Senior Lead Software Engineer at JPMorgan Chase, you'll enhance, build, and deliver secure technology products. You'll provide technical guidance, develop high-quality code, influence product design, and contribute to the engineering community while ensuring operational stability.

The Applied AI Modeling Lead will drive the development of advanced analytical products, utilizing deep NLP knowledge to solve complex business problems. Responsibilities include delivering products, mentoring team members, and acting as a subject matter expert in machine learning and algorithms.

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, you will enhance and deliver technology products in a stable manner. This includes developing high-quality code, troubleshooting technical issues, and leading teams to drive innovation and operational stability while adhering to agile best practices.