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Senior Lead Software Engineer - ML Engineer
senior · Technology / Software Development
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.