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Elastic

Principal Software Engineer II (Performance Team) - Elasticsearch

Posted 22 Days Ago
Remote
Hiring Remotely in United States
220K-292K Annually
Expert/Leader
Remote
Hiring Remotely in United States
220K-292K Annually
Expert/Leader
Lead design and development of automated benchmarking tooling and processes for Elasticsearch at cloud scale. Define methodologies, run and interpret performance tests, investigate regressions, assist capacity planning, and mentor engineers. Collaborate cross-functionally to tune distributed systems and report benchmarking results.
The summary above was generated by AI

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

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.

What you will be doing

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

What you bring 

  • 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 the 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 for this role is in the form of base salary.  This role does not have a variable compensation component.  

The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. 

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.  

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also 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.

The typical starting salary range for this role is:
$219,700$291,600 USD
The typical starting salary range for this role in the select locations listed above is:
$219,700$291,600 USD
Additional Information - We Take Care of Our People

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

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected]. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

Top Skills

Bash (Linux Shell)
Ci/Cd
Containers
Elasticsearch
Elasticsearch Query Api
Java
Jvm
Kibana
Kubernetes
Linux
Python
Vms
HQ

Elastic San Francisco, California, USA Office

88 Kearny Street , San Francisco, CA, United States, 94108

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