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Lead Software Engineer- Java Full Stack / IAM

JPMorgan Chase
Plano, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 5 days ago
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Job Responsibilities

  • Lead and mentor a team to deliver high-quality, innovative identity and access management solutions.
  • Modernize authentication and authorization platforms across multiple channels and domains, leveraging PingFederate, Transmit Security, and ForgeRock.
  • Evaluate and prototype internal and vendor solutions for user authentication.
  • Integrate anti-fraud and biometric authentication solutions into customer-facing applications.
  • Utilize APIs and SDKs for both niche solutions and open standards.
  • Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Develop secure and high-quality production code, and review and debug code written by others.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Apply 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 automation.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Build and maintain IAM web and UI components that invoke platform authentication flows.
  • Design supporting data schemas, connection pooling, and failover for authentication and token storage.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on experience with PingFederate, Transmit Security, and ForgeRock platforms for authentication and authorization.
  • Ability to lead and guide a small team to deliver innovative solutions.
  • Understanding of application and data architecture disciplines.
  • Experience with authentication and modern authentication practices and solutions (such as OAuth2/OpenID Connect, SAML, Facebook Login, Google Sign-In).
  • Proficiency in one or more general-purpose programming languages; Java strongly preferred.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Proficiency in Java, Spring Boot, React.
  • Knowledge of RESTful API design and development, including secure token-based authentication and authorization.
  • Knowledge of AWS, Kubernetes; advanced in one or more programming language(s).
  • Hands-on experience developing and supporting Java (Spring Boot) microservices in an enterprise environment.
  • Cloud-native experience (AWS, Azure, or GCP).
  • Experience designing and developing custom solution adapters and authentication logic on these platforms, including integration with external data sources and endpoints.
  • Experience developing against vendor SDKs and Admin APIs to extend authentication platforms where native configuration is insufficient.
  • Experience developing and consuming secure REST APIs and backend services supporting IAM platforms, including token validation and service-to-service integration.
  • Proficiency in Java, including building applications that integrate with identity providers.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Preferred Qualifications, Capabilities, and Skills

  • Experience integrating anti-fraud and biometric authentication solutions.
  • Familiarity with open standards and security protocols.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal abilities.
  • Experience in the financial services industry is a plus.
  • Proficiency in one or more general-purpose programming languages; Java strongly preferred.

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