Key skills
PythonJavaLinux shell scriptingDistributed systems performance analysisCPU performance analysisMemory performance analysisDisk I/O performance analysisNetwork performance analysisLatency analysisThroughput analysisRoot cause analysis for performance issuesBenchmarking in Linux VM environmentsBenchmarking in containerized environmentsBenchmarking methodologiesTechnical writing for benchmarking resultsBenchmarking frameworksPerformance toolingAutomated test infrastructureAWSGCPKubernetesTerraformElasticsearchAI application in benchmarkingProject managementShellAI
About this role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. The Senior Competitive Benchmarking Engineer will measure, validate, and communicate performance metrics on Elastic vs competitive products, collaborating with various teams to ensure effective positioning against competitors.
Responsibilities:
- Define benchmark methodologies and guidelines
- Optimize each product to ensure equal testing conditions
- Run the benchmarks and analyze the results
- Work with engineering and developer relations to validate your approach and results
- Publish the results through technical blogs or white papers with the information and resources for others to recreate your tests
Requirements:
- 5+ years of software development experience with Python and Java, plus Linux shell scripting
- Strong understanding of distributed systems performance analysis, including CPU, memory, disk I/O, network, latency, and throughput
- Experience performing root cause analysis for performance issues in complex systems
- Familiarity with benchmarking in Linux VM and containerized environments
- Experience writing about benchmarking results for external audiences
- Ability to manage numerous projects and collaborate effectively across geographically distributed teams
- Experience building benchmarking frameworks, performance tooling, or automated test infrastructure
- Experience working in public cloud environments, especially AWS and GCP
- Experience with Kubernetes and/or Terraform
- Prior experience with Elasticsearch
- Experience applying AI to expand benchmarking practices, improve benchmark design, or enhance benchmarking tooling