and take their careers. This is a world of, more innovation, more openness, and the skya cloud-enabled world.
Within Azure Data, the
highly availablevector search capabilities natively into Cosmos DB.
better served
Qualifications
10+ years of experience in distributed systems, databases, or large-scale search infrastructure.Strong coding skills in C++, Rust, or C#, with deep systems-level expertise.track recordof designing high-scale, low-latency services in production.Solid understanding of storage engines, indexing, and retrieval models.
Other Requirements
to meet Microsoft, customer and/or government security screening requirementsrequired for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
Preferred/Additional Qualifications
Experience working on database internals (e.g., indexing, query execution).Exposure to AI/ML systems, LLM-driven search, or retrieval-augmented generation (RAG).Experience with cloud-scale services (Azure, AWS, or GCP).
Architect and lead development of scalable, distributed vector indexing features (e.g., DISKANN) within the Cosmos DB engine.Optimize storage and compute efficiency for vector search scenarios, including approximate nearest neighbor (ANN) algorithms.Ensure robust telemetry, monitoring, and diagnostics are built into vector indexing components.
Embody our
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