Senior Lead Software Engineer - ML Engineer
Software Engineering, Data Science
Jersey City, NJ, USA · Wilmington, DE, USA
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.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Design scalable data and cloud solutions for regulatory models using Python and PySpark, delivering modern and reliable platforms.