Lead Software Engineer- Java Full Stack

As a Lead Software Engineer in our Identity and Access Management team, you will drive a team of innovators and technologists to deliver next-generation authentication and authorization solutions. You will set strategic direction, solve complex challenges, and inspire your team to embrace leading-edge technologies and methodologies. Your leadership will help us deliver secure, high-quality outcomes that support our business and clients.

You'll collaborate with global teams and harness the talents of technologists from around the world. Your work will have a direct impact on our technology and the clients we serve

• - Modernize authentication and authorization platforms across multiple channels and domains, leveraging
  ** Ping Federate, Transmit Security, and Forge Rock**.
• - 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.

• - Formal training or certification on software engineering concepts and 5+ years applied experience.
• - Hands-on experience with
  ** Ping Federate, Transmit Security, and Forge Rock
  ** 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…