The role involves developing and implementing features for a vector database built on top of MongoDB. The team focuses on the syntax and implementation of aggregation operators to support approximate nearest neighbor queries. Engineers in this position identify and resolve performance bottlenecks within filter queries and search operations. The work includes collaborating with product teams to define new query and index syntax. Additionally, the role requires leading projects, owning specific subsystems, and performing code reviews. Mentoring junior developers and contributing to technical designs are also key responsibilities.

Candidates are required to have at least three years of experience working on large-scale backend systems. Proficiency in writing high-performance applications using Java or another JVM language is necessary. The role requires a growth mindset, a focus on code quality, and strong problem-solving abilities. No specific degree or professional qualification is explicitly mentioned as a requirement.