Description

Lead AI-driven modernization of legacy policy administration systems using agentic coding and reverse engineering.

This role is hybrid.

Responsibilities

• Use Claude Code to analyze and navigate large, unfamiliar codebases, performing agentic multi-file refactoring, test execution, and Git-based source control operations.
• Lead AI-driven reverse engineering to extract business logic from legacy systems, producing reverse-engineered PRDs with code-to-function traceability and translating them into Jira user stories.
• Design and develop Java and Spring Boot-based microservices, implementing scalable REST APIs, business services, and data persistence using RDBMS and/or NoSQL technologies.
• Build and integrate services into CI/CD pipelines, ensuring Kubernetes-based deployment, automated testing, and enforcement of quality gates.
• Apply modernization engineering approaches to support rewrite, refactor, and replace patterns aligned to target architecture.

Required Skills

• Hands-on experience with Claude Code or similar agentic AI coding tools for multi-file refactoring.
• Strong Java and Spring Boot microservices engineering experience.
• Proficiency in designing and implementing scalable REST APIs.
• Experience with CI/CD pipelines, Kubernetes, and Git-based delivery.
• Solid understanding of RDBMS and NoSQL data persistence.
• Proven reverse engineering skills to produce requirement documents with code-to-function traceability.
• 5+ years of professional software engineering experience.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Working knowledge of policy administration modernization context, including product rules (underwriting, forms, rating) and core policy engine concepts.
• Experience with legacy system coexistence and integration strategies.

Key Skills

Education

Bachelor's degree