Lead Software Engineer - Client Onboarding

• Design, develop, test, and maintain high-quality software and new product capabilities
• Collaborate with cross-functional partners to deliver outcomes aligned to business needs
• Communicate development progress, risks, and dependencies to the team and key stakeholders
• Apply Agile practices to support iterative delivery and continuous improvement
• Implement and maintain CI/CD pipelines to support reliable builds and deployments
• Use sound object-oriented design and common design patterns to create scalable solutions
• Produce clear technical documentation and support knowledge sharing across the team
• Contribute to code quality through reviews, testing practices, and defect resolution
• Work with global technologists to share ideas, improve solutions, and drive innovation
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards and promoting reuse of effective patterns
• Apply SDLC toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficiency in Java development with J2EE server technologies (Web Services, Spring, ORM frameworks, XML, Enterprise Java Beans, JMS)
• Working knowledge of CI/CD and build tooling (such as Jenkins, TeamCity, Maven)
• Working knowledge of design patterns, UML, and object-oriented concepts
• Working knowledge of relational databases and SQL
• Working knowledge of source control management tools (Bitbucket or equivalent)
• Working knowledge of UI technologies including HTML5 and JavaScript
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) and setting 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
• Ability to collaborate within a team and build effective working relationships
• Ability to organize work, manage priorities, and deliver to tight deadlines

Preferred Qualifications, Capabilities, and Skills

• Working knowledge of Angular or React
• Working knowledge of AWS or equivalent cloud technologies