About this role
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.
Job Summary
As a Software Engineer III at JPMorgan Chase within the International Private Bank, you will play a key role in designing and delivering secure, stable, and scalable technology products. You’ll work as part of an agile team, carrying out critical technology solutions across multiple technical areas to support our business objectives. Your contributions will help improve software applications and systems, while fostering a culture of innovation and collaboration. You will be empowered to leverage advanced tools and practices to drive continuous improvement and deliver high-quality results.
Job Responsibilities
- Execute software solutions, design, development, and technical troubleshooting to build innovative solutions and address complex technical challenges
- Create secure, high-quality production code and maintain algorithms that integrate seamlessly with systems
- Leverage enterprise-authorized AI coding assist tools to enhance code quality, delivery speed, and productivity, validating outputs through peer review, automated testing, and secure coding standards
- Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation, to maximize automation value
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met during software development
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement
- Proactively identify hidden problems and patterns in data to improve coding hygiene and system architecture
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with ability to critically evaluate and refine AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred Qualifications, Capabilities, and Skills
- Familiarity with REST APIs and cloud-based microservices architectures (ideally Spring Boot), including designing and scaling applications in cloud environments
- Working knowledge of relational databases such as Oracle, Postgres, Sybase, or MS SQL
- Experience with messaging and streaming technologies and stream-based architectures (e.g., Kafka)
- Experience developing and maintaining applications in Python, including scripting, automation, or integration with other systems
- Strong interpersonal and communication skills, with the ability to collaborate effectively across large, cross-functional teams
- Open-minded, delivery-focused mindset with a passion for building an innovative engineering culture