Senior Python Engineer (Performance Team) - Elasticsearch
Elastic
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
API
Cloud Computing
Linux
Distributed Systems
Elasticsearch
Python
Open Source Technology
Cloud Services
Shell Script
Kubernetes
Search Engines
Kibana
Job description
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.
- 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.
Requirements
- 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.
Bonus Points
- 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.