Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Full-stack engineering capability with demonstrated experience building dashboards and web experiences end-to-end, spanning frontend, back-of-frontend, and backend integration
• Experience working with SQL databases and analytical data stores at scale, including data warehouse concepts and query optimization
• Demonstrated engineering practices including CI/CD pipeline implementation, automated testing, and code review standards
• Analytical capability to develop and validate metrics — including exploratory analysis, cohort and trend analysis, and anomaly detection — and translate results into clear visual narratives
• Effective communication and stakeholder partnership skills, with the ability to align technical and non-technical audiences around shared goals
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs

Preferred qualifications, capabilities, and skills

• Experience with React and TypeScript building performant, accessible, data-rich dashboards and visualizations
• Backend service and REST API development experience, including authentication and authorization, versioning, error handling, and performance optimization
• Experience deploying and operating services on cloud or container platforms (e.g., AWS, Kubernetes, or equivalent enterprise platforms)
• Experience integrating with Databricks to produce curated, dashboard-ready datasets, including layered data product patterns (e.g., bronze/silver/gold or equivalent) with clear contracts and quality controls
• Hands-on experience with AWS services (e.g., ECS, S3, SQS, SNS, Kafka), PostgreSQL, and infrastructure-as-code tools such as Terraform
• Prior experience building metrics or insight products for engineering productivity, developer experience, or technology transformation programs
• Interest or experience in UX and data visualization design principles

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.