Senior Engineer, Competitive Benchmarking & Performance
Core
Lead competitive benchmarking initiatives to evaluate Elasticsearch performance against alternative systems in search, vector, and hybrid retrieval workloads.
Role type
Senior Software Engineer (Performance Engineering)
Builds
Automated benchmark harnesses, datasets, query sets, and reproducible technical reports.
Domain
Search infrastructure, distributed databases, AI retrieval (RAG), and observability.
Required skills
Python, distributed systems performance evaluation, experimental design, workload modeling, technical writing, system profiling, cloud deployment evaluation.
Preferred skills
Elasticsearch, Lucene, Rally, ClickBench, vector search frameworks, retrieval quality measurement, cloud cost analysis.
Technologies
Elasticsearch, Rally, ClickBench, Python, cloud platforms.
Responsibilities
Develop representative workloads and automate reproducible experiments; design fair comparisons with documented configurations; evaluate latency, throughput, and resource consumption; investigate performance differences using profiling; publish benchmark artifacts and technical reports; partner with engineering to translate findings into product improvements.
Seniority
Senior, hands-on IC
