The role involves building AI-powered code transformation tools to modernize legacy applications into microservices-based architectures. The engineer will lead the design and optimization of code transformation workflows and orchestration layers. Responsibilities include creating high-performance data systems that integrate advanced AI capabilities for code generation, building, and testing. The position requires driving technical strategies and architectural vision while mentoring team members. The engineer will collaborate with product managers and researchers to translate complex requirements into robust technical solutions.

Candidates must possess at least 8 years of experience in software development and operations with a track record of architectural excellence. Required technical expertise includes working with relational databases such as Oracle, MySQL, Microsoft SQL Server, or PostgreSQL, as well as methodologies for code analysis, refactoring, and automated testing. Proficiency in integrating GenAI into large-scale systems and leading complex workflow designs is necessary. Strong verbal and written communication skills and project management abilities are also required. No specific degree or professional certification is explicitly mentioned as a requirement.