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Principal Software Engineer - Search Infra - Elasticsearch
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At a glance
- Employment type
- Full-time
- Location
- Ireland
- Workplace
- On-site
- Category
- Full-stack
Technologies & skills
Primary technologies
Other technical skills
What you'll be doing
Principal Software Engineer role on Elastic's Search Infra team, focusing on defining and building next-generation Elasticsearch core search infrastructure. Requires deep expertise in search internals, technical vision, and cross-team collaboration. Involves leading technical projects, mentoring, and hands-on development of search and indexing capabilities.
- Define, lead, and contribute to evolution of core search and indexing capabilities
- Research advances in search infrastructure, data structures, and retrieval algorithms
- Collaborate with partners and product teams to shape long-term technical vision
- Drive innovative roadmap for indexing, query execution, and relevance layers
- Serve as go-to expert for Elasticsearch domains and continuously improve them
Key requirements
Must-have
- Experience leading technical projects in search infrastructure and distributed systems
- Proven knowledge in building and operating search platforms and high-performance software systems
- Experience mentoring expert engineers
- Experience defining long-term technical vision for core search or retrieval systems
- Hands-on experience with search and indexing technologies such as Elasticsearch, Lucene, or Solr
- Strong skills in core Java
- Familiarity with advanced data structures and concurrency constructs
- Ability to work autonomously from concept to completion
Nice-to-have
- Experience building with Elasticsearch
- Experience in search and information retrieval theory
- Experience working with open source projects
- Familiarity with source control workflow and continuous integration
Experience: Experience leading technical projects in search infrastructure and distributed systems; mentoring engineers; hands-on with search and indexing technologies; defining technical vision for search systems; working with larg
Role signals
- Technical focus
- search infrastructure, indexing, retrieval, relevance, distributed systems
- Leadership
- Mentoring
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
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:
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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.
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Experience mentoring expert engineers, providing both technical and professional guidance.
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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.
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Hands-on experience with search and indexing technologies such as Elasticsearch, Lucene, or Solr,
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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.
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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.
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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.
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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.
Bonus Points
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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.
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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.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
The typical starting salary range for this role is:
€102.700—€162.500 EUR
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.
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Competitive pay based on the work you do here and not your previous salary
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Health coverage for you and your family in many locations
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Ability to craft your calendar with flexible locations and schedules for many roles
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Generous number of vacation days each year
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Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
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Up to 40 hours each year to use toward volunteer projects you love
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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 candidate_accessibility@elastic.co. 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.
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Principal Software Engineer - Search Infra - Elasticsearch role focuses on leading the technical vision and hands-on development of Elasticsearch's core search infrastructure, including indexing, retrieval, and relevance. The position emphasizes deep expertise in search systems, distributed architectures, and mentoring within a globally distributed engineering team.
- Technical Leadership in Search Infrastructure·Medium
- Hands-on Search System Development·Medium
- Mentoring and Cross-Team Collaboration·High
- Distributed Systems Architecture·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Elasticsearch and Lucene Architecture
0–10 minStudy the latest documentation and technical blogs on Elasticsearch and Lucene internals, focusing on indexing, retrieval, and relevance.
Prepare Leadership and Mentoring Examples
10–17 minList and structure stories where you led technical projects, mentored engineers, or set technical vision in search or distributed systems.
Refresh Advanced Java and Concurrency Concepts
17–22 minRevisit advanced Java features, concurrency patterns, and performance tuning relevant to large-scale search systems.
Research Recent Advances in Search Infrastructure
22–27 minIdentify and summarize recent innovations in search algorithms, data structures, or distributed search platforms.
Draft Role-Specific Questions
27–30 minPrepare thoughtful questions about the team’s roadmap, technical challenges, and collaboration practices to ask during the interview.
Talking points
, 6 itemsLeading Technical Projects in Search Infrastructure
Prepare examples of how you have defined and driven technical direction for large-scale search or distributed systems, as this is central to the role.
Deep Knowledge of Search and Indexing Technologies
Demonstrate your expertise with Elasticsearch, Lucene, or Solr, including how you have optimized or extended these systems.
Mentoring and Technical Guidance
Showcase your experience mentoring senior engineers and providing both technical and professional guidance in complex environments.
Architecting for Performance and Scalability
Be ready to discuss how you have designed or improved high-performance, scalable search platforms, focusing on indexing, retrieval, and relevance.
Collaboration Across Distributed Teams
Prepare to explain how you have effectively communicated and collaborated with remote, cross-functional teams to deliver technical outcomes.
Research and Innovation in Search Algorithms
Highlight instances where you have researched or implemented advances in search infrastructure, data structures, or retrieval algorithms.
What to research
, 4 itemsElasticsearch and Lucene Internals
Review the architecture, indexing, retrieval, and relevance mechanisms of Elasticsearch and Lucene, focusing on recent advancements.
Distributed Systems Design
Refresh your knowledge of distributed systems principles, especially as they relate to search infrastructure and high-performance data platforms.
Advanced Java and Concurrency
Brush up on advanced Java features, concurrency constructs, and performance optimization techniques relevant to large-scale search systems.
Mentoring and Technical Leadership
Prepare examples of mentoring, technical guidance, and cross-team collaboration in complex engineering environments.
Questions to ask
, 6 itemsHow does the Search Infra team at Elastic prioritize its technical roadmap and feature development?
Why ask this? To understand how strategic decisions are made and how you can contribute to long-term vision.
What are the biggest technical challenges currently facing Elasticsearch’s core search infrastructure?
Why ask this? To gauge the immediate priorities and where your expertise could have the most impact.
How does the team approach collaboration and code review across distributed locations?
Why ask this? To clarify expectations for remote teamwork and communication.
What opportunities exist for contributing to open source or influencing the broader search community?
Why ask this? To assess how the role interacts with the open source ecosystem and external stakeholders.
How is success measured for principal engineers in this role?
Why ask this? To understand performance expectations and how your contributions will be evaluated.
What is the typical balance between hands-on development and architectural/vision-setting work?
Why ask this? To clarify the day-to-day responsibilities and ensure alignment with your strengths.
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