The role involves designing, developing, and owning scalable, distributed systems and data-powered solutions. The engineer will lead architecture discussions, validate design hypotheses, and create secure design specifications. Responsibilities include writing maintainable, performant code and driving automation across development, testing, and deployment processes. The individual will leverage artificial intelligence tools throughout the software development lifecycle to enhance productivity and solution quality. Furthermore, the position requires collaborating across internal and external teams to manage dependencies and ensure system reliability. The engineer will also champion AI-native development practices and mentor peers in these methodologies.

The role requires a Bachelor's degree in Computer Science or a related technical field. Candidates must possess at least four years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python. Preferred qualifications include a Master's degree with six years of experience or a Bachelor's degree with eight years of experience. Additionally, experience in designing distributed systems, data platforms, and implementing AI-enabled solutions using tools like Azure OpenAI is highly valued.