Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Nice to Haves
Experience designing, tuning, or building vector search systems (e.g., ANN approximate nearest neighbor indexing, vector embeddings management, hybrid lexical-vector searches, and co-located metadata storage).
Experience architecting and deploying large-scale systems across any major Cloud platform.
Expert-level knowledge of distributed systems—specifically data partitioning, replication, consistency models, and the trade-offs of building stateful versus serverless components.
Strong background in backend systems engineering, including high-throughput data access layers, custom API design, concurrency controls, and persistent storage engines (e.g., Spanner, Key-Value stores).
What You'll Be Doing
Lead the technical execution and scoping of highly complex, ambiguous projects to systematically unblock core product limitations. You will turn open-ended scaling and performance issues into tractable, delivered systems.
Drive the physical design and implementation decisions that ensure the backend system performs at scale.
Build solutions that are flexible enough to offer internal tooling capabilities to consuming products, while reliably managing massive query volumes.
Maintain a strong, direct presence by contributing to critical, code paths, authoring comprehensive technical designs, and performing code reviews.
Identify and resolve performance bottlenecks in cost-performance, query latency, and throughput to keep latency curves flat as datasets grow.