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 — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role :
Elastic is seeking a Senior Competitive Benchmarking Engineer to join its Product Marketing Organization. This role will measure, validate and communicate performance metrics on Elastic vs competitive products. The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market. The ideal candidate brings a strong mix of technical, business and communication ability. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights.
What You Will Be Doing :
• 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.
What You Bring :
• 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.
Bonus Points :
• 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.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro A