Lead Software Engineer – Python, AIML, Cloud

J.P.Morgan Chase is seeking a Lead 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 collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects.

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.

• Develop and maintain high-quality, secure applications using Python and AWS
• Create architecture and design deliverables, lead design and architecture reviews, promote best practice
• Integrate AIML solutions into complex, domain-specific operations processing systems
• Lead 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

• 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
• Solid understanding of software development best practices, including version control, testing, and CI/CD
• Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders
• Experience working on AIML systems and/or prior experience collaborating with data scientists
• Track record of designing, building, and delivering maintainable, extensible applications into production environments

• Experience with Cloud services, Infrastructure as Code (IaC, Terraform) and containerized application development
• Familiarity with data storage systems (e.g., Postgres, Open Search) and AWS services such as S3, Sage Maker, and Bedrock
• Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems.