Senior ML Engineer - Cloud Data Solutions (AWS/Databricks)

Fairygodboss; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase is building scalable data and cloud solutions for regulatory model applications and modernization initiatives. The Lead Software Engineer will be hands-on across design, development, and production support using PySpark/Python, Databricks DBX, and AWS.

Collaborate with product, data, model, and platform teams to deliver outcomes on time; require 5+ years of software engineering and strong CS fundamentals, plus experience operating production-grade systems and clear communication.

Qualifications

• 5+ years of software engineering experience and strong CS fundamentals.
• Hands-on PySpark, Python, Databricks (DBX) and AWS experience.
• Experience building and operating production-grade systems with reliability.
• Strong communication skills in dynamic environments.

Responsibilities

• Design, develop, and deploy regulatory model applications and cloud modernization solutions.
• Build scalable distributed data processing using PySpark, Python, and Databricks (DBX).
• Implement secure, resilient AWS-based architectures and integration patterns.
• Write quality code, tests, and documentation; participate in reviews and release readiness.
• Communicate architecture and delivery plans via technical docs and decks.
• Partner with product, data, model, and platform teams to deliver outcomes on time.

Skills

PySpark

Python

Databricks DBX

AWS

CS fundamentals

Communication skills

C++

Scala

Java

Data engineering

ML exposure

AI agent development

Education

Advanced degree in Computer Science or related field

Job description

JPMorganChase is building scalable data and cloud solutions for regulatory model applications and modernization initiatives. The Lead Software Engineer will be hands-on across design, development, and production support using PySpark/Python, Databricks DBX, and AWS.

Collaborate with product, data, model, and platform teams to deliver outcomes on time; require 5+ years of software engineering and strong CS fundamentals, plus experience operating production-grade systems and clear communication.