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

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.