Database Engineer

Likely ghost job

🕒 March 28

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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turbopuffer

1 - 10 employees

☁️ SaaS

🔌 API

🤖 Artificial Intelligence

SaaS • API • Artificial Intelligence

<turbopuffer> is a serverless vector and full-text search platform built from first principles on object storage (S3). It provides an API-driven, cache-backed search service optimized for embeddings and LLM use cases, claiming high throughput, low latency, and much lower cost than traditional vector databases. turbopuffer targets developer and enterprise customers with features like conditional writes, large-scale document capacity, and compliance certifications (SOC2 Type 2, HIPAA).

📋 Description

• Design and implement improvements across storage, indexing, and querying layers of the search engine • Perform intensive performance optimization using tracing, CPU/heap profiling, data-structure optimization, SIMD, and I/O pipeline tuning • Evolve full-text, vector, and reranking search primitives and APIs • Work closely with customers to win their workloads and incorporate learnings into the product • Write clear, concise documentation

🎯 Requirements

• Extensive experience working in a systems language such as Rust, C++, Java, or Go • Strong understanding of memory layouts, cache lines, and syscalls • Methodical root-cause problem-solving ability • Expert domain knowledge in at least one of: search internals, storage engines, or distributed systems • Linux expertise, including terminals, eBPF/perf, strace, and gdb • Ability to write well and explain complex ideas simply • Multiple years of Rust experience is nice to have • Experience maintaining or operating serious production systems at scale is nice to have • Contributions to databases, information retrieval, or systems communities are nice to have • Additional expertise in Kubernetes and cloud infrastructure or security is nice to have

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