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 We are seeking a Senior Software Engineer to join our Elasticsearch Performance Engineering team, with a focus on architecting and developing the automated tooling for benchmarking Elasticsearch ingest and search workloads at scale in the cloud. What You Will Be Doing Participate in the design and building of tooling and automated processes for provisioning and execution of Elasticsearch performance benchmarking jobs at scale. Define best practices, methodologies, and guidelines for performance benchmarking of Elasticsearch servicing development teams and solution architects. Develop methodologies and processes for benchmarking Elasticsearch to determine the optimal price-performant instance type selection across Cloud Service providers. Devise solutions for benchmarking disparate use cases and workloads for Elasticsearch stateful and serverless products at scale. Architect solutions for performance benchmarking of evolving andkey product features of Elasticsearch. Investigate and assist in resolving performance escalations and capacity planning issues as required. What You Bring Proficiency in Python and Linux shell scripting are required. Familiarity with Linux system-level performance measurement and associated tooling (for example: how to measure and compare CPU and disk I/O performance between cloud provider instance types). Knowledge of cloud orchestration with Kubernetes. Experience with cloud architectures, service models, and operating across multiple cloud service providers. Ability to assess tradeoffs from both performance and deployment perspectives. Ability to multitask, effectively manage your time, and collaborate with team members globally across time zones. Bonus points Prior experience in the troubleshooting and root cause analysis of performance issues in complex distributed architectures. Experience with performance tuning of Java applications and JVMs. Prior experience with large, distributed search engines and in developing and tuning queries. Prior experience with CI/CD pipelines. Familiarity with the Elasticsearch Query API and building Kibana dashboards is a strong plus. 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 Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is:
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