Senior Software Developer, Elastic

• 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

Desirable

• 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
• 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 and key product features of Elasticsearch
• Investigate and assist in resolving performance escalations and capacity planning issues as required