Elastic Logo

Elastic

Principal Software Engineer - Search Infra - Elasticsearch -

Posted 15 Days Ago
Remote
Hiring Remotely in United States
160K-253K Annually
Expert/Leader
Remote
Hiring Remotely in United States
160K-253K Annually
Expert/Leader
Lead and contribute to Elasticsearch core search and indexing capabilities. Define technical vision for indexing, retrieval, and relevance; research data structures and retrieval algorithms; drive roadmap for large-scale search systems; collaborate with product and cross-functional teams; mentor engineers and implement robust, high-performance search infrastructure.
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're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team.  This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing:

As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure, data structures, and retrieval algorithms to ensure we’re building the most efficient and powerful foundations for our users. You’ll work closely with our partners and product teams to understand their needs and help shape the long-term technical vision for search at Elastic. You’ll bring your past experience with large-scale search systems to drive an innovative roadmap for Elasticsearch’s indexing, query execution, and relevance layers. As an authority in several areas of Elasticsearch, you’ll be the go-to expert for those domains, continuously improving them through your insights and instincts.

What You Will Bring:
  • Experience leading technical projects in the search infrastructure and distributed systems space. You bring proven knowledge in building and operating sophisticated search platforms and engineering robust, high-performance software systems.
  • Experience mentoring expert engineers, providing both technical and professional guidance.
  • Experience defining a long-term technical vision for a core search or retrieval system, working across teams and organizations to collaboratively shape the technical roadmap.
  • Hands-on experience with search and indexing technologies such as Elasticsearch, Lucene, or Solr,
  • Strong skills in core Java and familiarity with advanced data structures and concurrency constructs, as well as newer language features like lambdas. You have a strong desire to optimize and leverage the most efficient algorithms and search data structures.
  • Able to work with a high level of autonomy, tackling projects and guiding them from concept to completion, including both technical design and collaboration with other engineers to develop the necessary components.
  • Experience with large-scale data or search systems such as Elasticsearch, Lucene, Solr, or distributed storage engines, and an understanding of how they work and why they work that way.
  • Excellent verbal and written communication skills. Collaborating across distributed teams is challenging, we value being supportive, empathetic, and trusting in all interactions, and we expect the same from everyone on the team.
  • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
  • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
  • You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.
Bonus Points
  • You've built things with Elasticsearch before, and you have experience in the search and information retrieval space and understand the constructs and theory behind it.
  • Experience working with open source projects and familiar with different styles of source control workflow and continuous integration.


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:
$159,800$252,800 USD
The typical starting salary range for this role in the select locations listed above is:
$191,900$303,500 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.

Elastic Chicago, Illinois, USA Office

500 W Madison St, Chicago, IL, United States

Similar Jobs

10 Minutes Ago
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Lead development and execution of enterprise testing strategies; assess control environments, identify gaps, drive remediation, manage complex testing initiatives and teams, apply risk management and project management expertise, and communicate outcomes to senior stakeholders and regulators.
11 Minutes Ago
Remote
US
70K-80K Annually
Mid level
70K-80K Annually
Mid level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Serve as the customer relationship manager through onboarding for retail customers: build and execute onboarding plans, conduct remote site/network assessments, document installations, train staff, manage multiple concurrent implementations (45+ accounts), and provide post-live support and troubleshooting to ensure successful activation and adoption.
Top Skills: AsanaGoogle WorkspacePos IntegrationsSalesforceToast Pos
11 Minutes Ago
Remote
US
75K-120K Annually
Mid level
75K-120K Annually
Mid level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Serve as the customer's relationship manager through onboarding and Go-Live, manage multiple implementations (45+), conduct remote site assessments, document installations, deliver staff training, provide post-live support and troubleshooting, and meet monthly activation goals while using project management tools to drive operational efficiencies.
Top Skills: AsanaGoogle WorkspacePos SystemsSalesforceToast Pos

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account