[Hiring] Principal Software Engineer II @Referral Board

Role Description

We are seeking a Principal Software Engineer II to join our Elasticsearch Performance Engineering area. This role will set the technical direction for our automated benchmarking tools. You'll define methodologies, architecture and design for testing Elasticsearch ingest and search workloads at cloud scale, including identifying performance regressions.

• Design and build tooling and automated processes for provisioning and execution of Elasticsearch performance benchmarking jobs at scale.
• Define methodologies and guidelines for performance benchmarking servicing development teams and solution architects.
• Play a lead role in cross-functional team efforts and engagements.
• Mentor and advise team members on proposed technical solutions.
• Develop reporting for and interpret benchmarking results.
• Investigate and assist in resolving performance escalations and capacity planning issues.
• Address and devise solutions for benchmarking disparate use cases and workloads.

Qualifications

• Software development experience with Python and Linux shell required (Expert Level).
• Familiarity with Linux system-level performance measurement and associated tooling (for example: how to measure and compare CPU, memory, and disk I/O performance between cloud provider instance types).
• Prior experience in troubleshooting and root cause analysis of performance issues in complex distributed architectures.
• 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.
• Ability to multitask, effectively manage your time, and collaborate with team members globally across time zones.
• Familiarity with measuring performance and sizing in Linux VM and container environments.
• Experience with performance tuning of Java applications and JVMs.

Bonus points

• Prior experience with large, distributed search engines and in developing and tuning queries.
• Familiarity with the Elasticsearch Query API and building Kibana dashboards is a strong plus.
• Cloud orchestration with Kubernetes.
• Experience applying the use of Artificial Intelligence (AI) for devising and expanding benchmarking practices and enhancing benchmarking tooling.

Compensation

• The typical starting salary range for this role is: $219,700 — $291,600 USD.
• The typical starting salary range for this role in select locations is: $219,700 — $291,600 USD.
• Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
• Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, this role is currently eligible to participate in Elastic's stock program.
• Our total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

Additional Information - We Take Care of Our People

• As a distributed company, diversity drives our identity.
• 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 a minimum of 16 weeks of parental leave.