The role involves designing and building tools to assist customers in modernizing applications and migrating data from legacy relational databases to MongoDB. The engineer will focus on creating orchestration layers and high-performance data systems that support code generation and data migration. Responsibilities include optimizing data structures and algorithms to power a generative AI platform. The position requires collaboration with AI researchers and product management to ensure the scalability and reliability of services. The engineer will also identify performance bottlenecks and contribute to the development of robust backend services.

Candidates must possess at least two years of engineering experience in backend, distributed, or core platform development. Proficiency in Java, Rust, C/C++, or Python is required, along with a strong understanding of systems-level programming and performance tuning. Experience with streaming platforms like Apache Kafka, Change Data Capture tools, and relational data modeling is necessary. Additionally, candidates should demonstrate a solid grasp of algorithms and data structures.