Software Engineer III- Java Full Stack

About the role

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