Elasticsearch - Senior Python Engineer (Performance Team)

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., As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
• 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.

• Expert-level knowledge of Python required, including awareness of new features.
• Experience in Linux shell scripting.
• Cloud orchestration with Kubernetes.
• 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.
• 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.