Elasticsearch - Senior Python Engineer (Performance Team)

Referral Board-posted 4 days ago

Full-time • Senior

1,001-5,000 employees

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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.

Participate in the design and building of tooling and automated processes for provisioning and execution of Elasticsearch performance benchmarking jobs at scale.
Maintain our open source Python based benchmarking tool, Rally and act as a source of best practice within the team regarding our Python-based tooling.
Define best practices, methodologies, and guidelines for performance benchmarking of Elasticsearch servicing development teams and solution architects.
Address and devise solutions for benchmarking disparate use cases and workloads.
Develop reporting for and interpreting benchmarking results.

Expert-level knowledge of Python required, including awareness of new features.
Experience in Linux shell scripting.
Prior experience with CI/CD pipelines and automating process workflows.
Experience in cloud architectures, service models, and operating across multiple cloud service providers, assessing tradeoffs from both performance and deployment perspectives.
Familiarity with measuring performance and sizing in Linux VM and container environments.
Ability to multitask, effectively manage your time, and collaborate with team members globally across time zones.

Prior experience in the troubleshooting and root cause analysis of performance issues in complex distributed architectures.
Prior experience with large, distributed search engines and in developing and tuning queries.
Cloud orchestration with Kubernetes.
Familiarity with the Elasticsearch Query API and building Kibana dashboards is a strong plus.

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.
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

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