• Leverage generative AI tools to analyze and understand complex legacy mainframe codebases (COBOL, PL/I, etc.). • Identify patterns, dependencies, and potential areas for optimization. • Utilize AI to assist in refactoring, translating, or re-architecting mainframe applications into modern languages and architectures (Java, Python, microservices, etc.). • Implement AI-driven code generation to accelerate modernization efforts while ensuring code quality and maintainability. • Design and implement strategies for migrating data from legacy mainframe systems to modern databases or cloud platforms. • Leverage AI to automate data transformation and ensure data integrity. • Develop and execute comprehensive testing plans to ensure modernized applications meet functional and performance requirements. • Utilize AI for automated test case generation and test execution. • Work closely with mainframe experts, architects, and other developers to understand modernization goals and constraints. • Stay abreast of the latest advancements in generative AI and apply them to improve modernization processes.

• Design, build, and maintain core backend services and APIs • Develop scalable, secure, and well-architected systems • Work with distributed systems and event-driven architectures • Ensure high performance, reliability, and fault tolerance • Write clean, maintainable, and well-tested code • Own systems end-to-end from design to production • Improve observability, monitoring, and operational maturity • Contribute to architectural decisions and technical direction • Work closely with AI, security, and product teams • Translate product and security requirements into robust technical solutions • Mentor engineers and raise the overall engineering bar • Help shape engineering standards and best practices

• Build end-to-end product capabilities, from user-facing interfaces to backend services and data flows • Collaborate closely with product, design, AI, and security engineers to ship high-quality features from concept to production • Design and build end-to-end features across frontend, backend, and APIs • Own features from idea and implementation to deployment and iteration • Optimize performance, accessibility, and user experience • Develop and maintain backend services, APIs, and data pipelines • Ensure reliability, scalability, and security across the stack • Mentor engineers and help raise engineering standards

• Build end-to-end product features across frontend, backend, and APIs • Translate product requirements and user needs into well-designed technical solutions • Own features from concept, implementation, and deployment to iteration and improvement • Work closely with design to ensure clarity, usability, and consistency • Build interfaces for complex, data-dense security workflows • Continuously improve product ergonomics, performance, and reliability • Develop and maintain backend services, APIs, and data flows supporting the product • Work with distributed systems and modern cloud infrastructure • Ensure features are secure, observable, and production-ready • Partner closely with product, design, AI, and security teams • Contribute to product discovery and technical decision-making • Help set engineering standards and raise product quality across the company