Senior Lead Software Engineer - ML Engineer
Hands-on lead engineer building scalable data and cloud solutions for regulatory model applications using PySpark/Python, Databricks, and AWS on cross-functional teams at JPMorgan Chase.
- Compensation
- Not disclosed
- Location
- Jersey City, NJ, United States
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 5+ years of software engineering experience
- 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
Nice to have
- C++, Scala, and/or Java experience
- Data engineering experience; ML exposure
- Experience enabling or building AI agent development (LLM-enabled workflows/orchestration, evaluation/guardrails)
- Advanced degree in Computer Science or related field
Full description
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.