Database Engineer

Job not on LinkedIn

🕒 March 28

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

turbopuffer

WebsiteLinkedInAll Job Openings

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