Elastic

Search AI

SeniorCompetitiveBenchmarkingDeveloper

CA$122–172k New York, New York, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Competitive Benchmarking Developer at Elastic. Skills: Benchmarking, Performance Analysis, Python, Java. Define benchmark methodologies and guidelines. Optimize product for equal testing conditions”

What You'll Achieve.

Measure, validate and communicate performance metrics on Elastic vs competitive products; Ensure the organization remains competitive in a dynamic market

Industry & Context.

Search AI
Problems you'll solve

Think critically; Dive deep to deliver valuable insights

What They're Looking For.

Must Have

5+ years of software development experience with Python and Java, Linux shell scripting, understanding of distributed systems performance analysis, Experience performing root cause analysis for performance issues in complex systems, benchmarking in Linux VM and containerized environments, Experience writing about benchmarking results for external audiences, Ability to manage numerous projects, collaborate effectively across geographically distributed teams

Nice to Have

Experience building benchmarking frameworks, performance tooling, automated test infrastructure, working in public cloud environments, AWS, GCP, Kubernetes, Terraform, Prior experience with Elasticsearch, Experience applying AI to expand benchmarking practices, improve benchmark design, enhance benchmarking tooling

What You'll Do.

Define benchmark methodologies and guidelines

Optimize product for equal testing conditions

Run benchmarks and analyze results

Publish results through technical blogs or white papers

How You'll Work.

Team & Collaboration

Collaborate with various teams to position Elastic's offerings; Work with engineering and developer relations to validate approach and results

Communication Scope

Communication ability; Writing about benchmarking results for external audiences

Process & Methodology

Manage numerous projects

Full Job Description

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

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