Senior Benchmarking Engineer: Performance & Competitiveness

Elastic; Oregon; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health coverage for you and your 가족

Flexible locations and schedules

Generous vacation days

Donations matching up to $2000

Volunteer hours allowance

Parental leave

Job summary

Elastic, the Search AI Company, seeks a Senior Software Engineer to lead competitive benchmarking within the Elasticsearch Performance team. You will build representative workloads, automate experiments, and compare Elasticsearch with alternative systems, guiding engineering improvements and informing customers.

This hands-on role emphasizes benchmarking, performance analysis, and transparent reporting. The position focuses on concurrent ingestion, hybrid search, and recall targets, with

Qualifications

• Strong software engineering skills with automation and analysis tooling
• Hands-on experience evaluating performance in distributed systems
• Depth in search, vector retrieval, analytical databases, or observability
• Experience designing representative datasets and workloads

Responsibilities

• Own prioritized benchmarking initiatives across search, vector and hybrid retrieval
• Build and maintain automated benchmark harnesses, datasets, queries, load profiles reflecting real-world usage
• Design fair comparisons with documented system versions, configurations and budgets
• Evaluate latency, throughput, resource consumption and cost efficiency
• Investigate performance differences using profiling and experiments; collaborate with engineering
• Publish reproducible benchmark artifacts and technical reports explaining methodology and tradeoffs

Skills

Python

Benchmarking

Performance analysis

Distributed systems

Automation

Tools

Elasticsearch Rally

ClickBench

Vector benchmark frameworks

Job description

Elastic, the Search AI Company, seeks a Senior Software Engineer to lead competitive benchmarking within the Elasticsearch Performance team. You will build representative workloads, automate experiments, and compare Elasticsearch with alternative systems, guiding engineering improvements and informing customers.

This hands-on role emphasizes benchmarking, performance analysis, and transparent reporting. The position focuses on concurrent ingestion, hybrid search, and recall targets, with