Senior Lead Software Engineer - ML Engineer

Build and deliver scalable, production-grade data and cloud solutions for regulatory model applications and modernization initiatives at JPMorganChase. This hands-on individual contributor role focuses on engineering with PySpark/Python on Databricks (DBX) and AWS, partnering with cross-functional teams to design, implement, and support reliable systems; strong candidates may also bring experience enabling AI agent development. As a Lead Software Engineer (Individual Contributor) at JPMorganChase within Corporate & Enterprise Technology, you will build and deliver scalable data and cloud solutions for regulatory model applications and modernization initiatives. You’ll be hands-on across design, development, and production support, leveraging PySpark/Python, Databricks (DBX), and AWS, and collaborating closely with cross-functional partners. Job Responsibilities - Design, develop, and deploy regulatory model applications and cloud modernization solutions. - Build scalable distributed data processing solutions using PySpark/Python and Databricks (DBX). - Implement secure, resilient AWS-based architectures and integration patterns. - Write high-quality code, tests, and documentation; contribute to reviews and release readiness. - Communicate architecture and delivery plans through clear technical documentation and tech decks. - Partner with product, data, model, and platform teams to deliver outcomes on time. Required qualifications, skills, and capabilities - 5+ years of software engineering experience and strong CS fundamentals - Strong hands-on experience with PySpark, Python, Databricks (DBX), and AWS. - Experience building and operating production-grade systems (quality, reliability, observability). - Strong communication skills; ability to work in dynamic, ambiguous environments. Preferred Qualifications, Capabilities, and Skills - C++, Scala, and/or Java experience. - Data engineering experience; ML exposure is a plus. - Strong candidates: experience enabling or building AI agent development (LLM-enabled workflows/orchestration, evaluation/guardrails). - Advanced degree in Computer Science or related field.