Software Engineer III - Java

Are you passionate about building secure, next-generation technology that protects people and institutions at scale? Join a team of innovators at JPMorganChase where your engineering expertise directly shapes how millions of customers and institutions authenticate and access critical financial services. Here, you'll work on mission-critical identity and access management solutions that sit at the intersection of security, innovation, and customer experience — with the resources and global reach to make a real impact.

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 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