Elasticsearch - Software Developer (Performance Team) 

Job Description

We are seeking a Software Developer 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 and key product features of Elasticsearch.
• Investigate and assist in resolving performance escalations and capacity planning issues as required.

What you will bring along

• Proficiency in Python, Java, 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.