J.P. Morgan is seeking a Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both new and ongoing projects.
As a Software Engineer III at JPMorganChase within the CIB Security Services Technology Applied AIML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies.
Job Responsibilities
- Develop and maintain high-quality, secure applications using Python and AWS
- Create architecture and design deliverables
- Integrate AIML solutions into complex, domain-specific operations processing systems
- Participate in code reviews, design discussions, and agile planning sessions
- Collaborate with SRE and production monitoring teams to ensure system reliability and performance
- Contribute to software engineering communities of practice and technology events
- Embrace continuous learning, creative problem-solving, and a can-do attitude
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification
- Proven hands-on experience in Python application development
- Proven hands-on experience developing, debugging and maintaining production applications