Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Expert in one or more programming language(s)
• Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data, grounded in a strong understanding of responsible AI use, control expectations, and risk-based governance in engineering workflows
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
• Ability to present and effectively communicate with Senior Leaders and Executives
• Understanding of the business
• Practical cloud native experience
• Demonstrated experience designing and operating platform APIs and data services consumed by other engineering teams, including contract design, versioning, and backward compatibility as the consumer base grows
• Hands-on experience building high-volume, data-intensive systems where query latency, data freshness, and index or storage design determine whether the product is usable, including the associated capacity, cost, and resiliency trade-offs
• Experience delivering an internal platform as a product, establishing the consumption patterns, reference implementations, and documentation that drive measurable adoption across multiple teams, and evolving that platform without breaking existing consumers

Preferred qualifications, capabilities, and skills

• Experience working with structured representations of source code, such as abstract syntax trees, symbol or dependency graphs, or large-scale code search indexes, and exposing them through queryable interfaces
• Experience automating SDLC controls, audit evidence collection, or change management and regulatory checks in a controlled or regulated engineering environment
• Experience building developer-facing tooling or platforms adopted across a large engineering organization, including supplying trustworthy code context to AI-assisted development tools

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

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.