What JPMorganChase offers
This onsite role is based in Wilmington, Delaware, and joins a company known for a competitive total rewards package tied to role, experience, and location. Eligible team members may receive base pay, plus commission-based earnings and discretionary incentive compensation, paid in cash or forfeitable equity, in recognition of individual contributions. The organization also supports well-being and professional growth through a broad benefits program.
- Health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Commission-based pay
- Discretionary incentive compensation
- Equity (forfeitable equity)
Responsibilities
- Lead the design, development, and deployment of regulatory model applications and cloud modernization initiatives.
- Architect scalable, secure, and efficient solutions to process large data volumes.
- Drive enterprise AI assisted engineering practices to improve code quality, delivery speed, and operations, including AI-assisted code review and refactoring, faster testing strategies, and root-cause analysis support; establish validation standards and promote reuse of proven patterns.
- Utilize the SDLC toolchain and authorized AI-assisted development and automation capabilities to maximize automation value.
- Collaborate with cross-functional teams to deliver projects on time and to high quality standards.
- Contribute to strategic technology decisions and provide project and technical leadership.
- Manage multiple priorities effectively in a fast-paced, dynamic environment.
- Remain hands-on and contribute directly to implementation and technical delivery.
Requirements
- Formal training or certification in software engineering concepts plus 5+ years of applied experience.
- Proven experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
- Extensive experience with PySpark, Python, AWS, and Databricks; exposure to machine learning.
- Data engineering experience.
- Proven project lead or team lead experience.
- Deep understanding of cloud architecture and distributed systems.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to thrive in dynamic environments and navigate ambiguity.
- Demonstrated track record of delivering enterprise-grade software solutions.
Technologies
Key tools and platforms include PySpark, Python, AWS, Databricks, and machine learning.
About the company
JPMorganChase is a long standing financial institution delivering innovative financial solutions to consumers, small businesses, and a wide range of corporate and government clients under the J.P. Morgan and Chase brands. The firm emphasizes diversity and inclusion and is committed to equal opportunity employment.
About the team
Corporate Functions cover finance, risk, human resources, and marketing. These teams ensure the company sets up its businesses, serves clients and customers, and supports employees for success.
