Software Engineer III- Java Full Stack

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Identity Engineering team, you will design, build, and modernize authentication and authorization platforms that serve some of the world's most important corporations, governments, and institutions. You'll collaborate with a global network of technologists to deliver secure, scalable, and high-quality solutions across channels and domains. This role offers the opportunity to work on cutting-edge authentication technologies while contributing to a firm entrusted with holding trillions in assets across more than 100 countries

Job responsibilities

Design and develop secure authentication and authorization solutions across customer-facing channels and enterprise platforms

Modernize identity and access management systems, including authentication and authorization frameworks aligned to open standards

Evaluate and prototype internal and vendor solutions for user authentication, including anti-fraud and biometric capabilities

Integrate APIs and SDKs for both niche authentication solutions and open standards such as OAuth2, OpenID Connect, and SAML

Collaborate with cross-functional and globally distributed engineering teams to deliver high-quality, business-valued outcomes

Drive quality and efficiency across the software development lifecycle through strong engineering practices and code standards

Contribute to technical direction by setting and modeling high standards for design, development, and testing

Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automations

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and and 5+ years of proficient applied experience

Proficiency in one or more general-purpose programming languages, with strong preference for Java

Experience with application and data architecture principles, including design patterns and business process integration

Familiarity with cloud-native development on platforms such as AWS, Azure, or Google Cloud Platform

Ability to work collaboratively across local and global teams, building relationships to achieve shared goals

Flexibility to work across multiple technology stacks and application environments

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

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Preferred qualifications, capabilities, and skills

• Experience with modern authentication protocols and standards such as OAuth2, OpenID Connect, SAML, or federated identity solutions
• Exposure to anti-fraud technologies or biometric authentication integrations within customer-facing applications
• Experience working in regulated financial services or similarly complex enterprise environments
• Familiarity with identity and access management platforms or vendor solutions
• Knowledge of API security best practices and SDK integration patterns