Senior Lead Software Engineer - ML Engineer
Reads like a Data Engineer role: pipelines and data infrastructure.
Jersey City, NJ, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and deploy regulatory model applications and cloud modernization solutions
Build scalable distributed data processing solutions with PySpark/Python and Databricks
Implement secure, resilient AWS-based architectures and integration patterns
Write code, tests and documentation; contribute to reviews and release readiness
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 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 and comfort in dynamic, ambiguous environments
Qualification wording
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.
Tools in this posting
- C++
- Java
- Python
- Scala
- AWS
- Databricks
- PySpark
Source — Tool mentions in context
Preferred Qualifications, Capabilities, and Skills - C++, Scala, and/or Java experience. - Data engineering experience; ML exposure is a plus.
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.
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.
- 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).
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 28, 2026 · 62 days ago
- Recorded sightings
- 226
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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Job 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.
- 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.
- 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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Jersey City, NJ, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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