Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch

Elastic
Full-timeFull-stackIreland
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At a glance

Employment type
Full-time
Location
Ireland
Workplace
On-site
Category
Full-stack

Technologies & skills

Primary technologies

Secondary technologies

What you'll be doing

Senior Software Engineer role on the Elasticsearch Search Relevance team, focusing on designing and implementing new search features, enhancing search functionality, and resolving bugs. The position emphasizes technical leadership, collaboration in a distributed team, and expertise in Java and search/vector databases.

  • Lead initiatives to produce an industry-leading search engine offering
  • Contribute to Elasticsearch by building new search features and fixing bugs
  • Invent or implement algorithms and data structures as needed
  • Work closely with operating system and hardware when required
  • Collaborate with a globally distributed team focused on vector search
  • Identify and drive improvements in search relevance
  • Engage with community members on issues and pull requests
  • Write idiomatic modern Java code

Key requirements

Must-have

  • Professional experience with search or vector databases
  • Experience with HNSW, IVF, or similar algorithms and libraries
  • Strong skills in core Java and standard library data structures and concurrency constructs
  • Ability to work autonomously and guide projects from start to finish
  • Experience collaborating in distributed teams
  • Familiarity with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra
  • Proven track record of using AI to accelerate development and optimize code
  • Ability to collaborate across functions and teams

Nice-to-have

  • Experience building with Elasticsearch
  • Experience with open source projects and source control workflows
  • Experience with continuous integration
  • Experience designing and leading cross-functional initiatives

Experience: Senior

Role signals

Technical focus
search relevance, vector search, Java development
Leadership
Mentoring
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

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 Senior Software Developer to join the Elasticsearch - Search Relevance team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This technical leader is responsible for contributing to the technical direction and vision for our search capabilities, including design and implementation of new search features, enhancements to search functionality, and resolving bugs.

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

  • Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search.

  • Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.

  • Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.

  • Be an expert on Elasticsearch search relevance. You'll identify and drive improvements this area based on your questions and your instincts.

  • Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.

  • Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring

  • Professional experience with search or vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.

  • You have solid skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.

  • You work with a high level of autonomy and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.

  • You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.

  • You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.

  • 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.

  • You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.

  • Experience with data storage technology.

  • You have experience designing, leading, and owning cross-functional initiatives.

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:

€85.600—€135.500 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.

  • 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 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

You will be assessed on your expertise in Java, search relevance, and vector search algorithms, as well as your ability to lead technical initiatives, collaborate asynchronously in a distributed team, and contribute to the evolution of Elasticsearch's search capabilities.

  • Java development·High
  • Search relevance·High
  • Vector search algorithms·High
  • Distributed collaboration·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Vector Search Algorithms

    0–10 min

    Refresh your understanding of HNSW, IVF, and their application in search systems.

  2. Java and Concurrency Refresher

    10–17 min

    Go over Java concurrency constructs, data structures, and idiomatic code relevant to search features.

  3. Reflect on Search Relevance Projects

    17–24 min

    Recall specific examples where you improved search relevance or implemented new algorithms.

  4. Prepare for Distributed Collaboration

    24–30 min

    Think through your experience with asynchronous teamwork and open source contributions.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items
  • Java Proficiency

    The role requires writing idiomatic, modern Java and deep familiarity with its core libraries and concurrency features.

  • Search and Vector Database Algorithms

    You will design and implement new search features, including vector search using algorithms like HNSW and IVF.

  • Search Relevance Tuning

    Improving search relevance is central to the team's mission and your expertise will directly impact product quality.

  • Distributed and Asynchronous Collaboration

    Elastic operates as a globally distributed team, emphasizing asynchronous communication and consensus-driven development.

  • Open Source Workflow and Community Engagement

    You will interact with community members, triage issues, and contribute to open source projects, requiring familiarity with collaborative development practices.

  • Data Storage Technologies

    Experience with technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra is expected for understanding system integration and performance.

What to research

, 3 items
  • Vector Search and Algorithm Implementation

    This role emphasizes hands-on experience with vector search algorithms like HNSW and IVF, including their design, optimization, and integration into large-scale systems.

  • Distributed, Asynchronous Teamwork

    Success in this team requires strong skills in asynchronous communication, consensus-building, and remote collaboration across time zones.

  • Search Relevance Expertise

    You are expected to lead improvements in search relevance, requiring deep understanding of evaluation, tuning, and user impact.

Questions to ask

, 6 items
  1. How does the Search Relevance team prioritize new features versus bug fixes?

    Why ask this? Clarifies how your work will be balanced and what drives priorities.

  2. What are the biggest technical challenges currently facing the Elasticsearch search relevance team?

    Why ask this? Reveals where your expertise could have the most impact.

  3. How does the team approach asynchronous collaboration across time zones?

    Why ask this? Helps you understand daily workflow and communication expectations.

  4. What is the process for contributing new algorithms or major features to Elasticsearch?

    Why ask this? Shows how innovation and technical leadership are supported.

  5. How does Elastic support professional development and learning for engineers?

    Why ask this? Gives insight into growth opportunities and company investment in skills.

  6. What is the team's approach to code review and consensus-building?

    Why ask this? Clarifies expectations for collaboration and decision-making.

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Apply NowApply before: 26 Sep 2026