oracle
Software Engineer III- Java Full Stack
JPMorgan Chase
Plano, USA
Full-time
Mid · 5+ years experience
Onsite
Discovered 1 weeks ago
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Key Skills for This Role
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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
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