Elasticsearch Senior Software Engineer (Performance Team)

work from anywhere - fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proficiency in Python and Linux shell scripting., Familiarity with Linux system performance measurement tools., Experience with cloud architectures and multiple cloud providers., Knowledge of Kubernetes and cloud orchestration..

Key responsibilities:

  • Design and build tooling for Elasticsearch performance benchmarking.
  • Develop methodologies for benchmarking and optimizing Elasticsearch performance.
  • Assist in resolving performance issues and capacity planning.
  • Architect solutions for benchmarking Elasticsearch features at scale.

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Elastic Large http://www.elastic.co
1001 - 5000 Employees
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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, cloudbased 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 priceperformant 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 and key 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 systemlevel performance measurement and associated tooling (for example: how to measure and compare CPU and disk IO 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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Troubleshooting (Problem Solving)
  • Multitasking
  • Time Management
  • Collaboration

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