Senior Lead Software & ML Engineer - PySpark/Databricks/AWS

Next Frontier Capital; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Lead Software Engineer (Individual Contributor) to build scalable, production‑grade data and cloud solutions for regulatory model applications and modernization initiatives.

You will work hands‑on with PySpark/Python on Databricks (DBX) and AWS, designing, developing and supporting systems, and collaborating with cross‑functional partners to deliver reliable outcomes on schedule.

Qualifications

• 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.

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.

Skills

PySpark

Python

Databricks (DBX)

AWS

CS Fundamentals

System Design

Education

Advanced degree in CS or related field

Job description

JPMorganChase in Jersey City seeks a Lead Software Engineer (Individual Contributor) to build scalable, production‑grade data and cloud solutions for regulatory model applications and modernization initiatives.

You will work hands‑on with PySpark/Python on Databricks (DBX) and AWS, designing, developing and supporting systems, and collaborating with cross‑functional partners to deliver reliable outcomes on schedule.