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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 - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch's completely new compute engine, and accessed via our new piped query language called ES|QL. This is a principal software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of ES|QL capabilities. This role includes providing technical vision and direction for the customer/user interfaces and for the underlying language syntax and compute infrastructure. This role requires related past technical experience in addition to the ability to work cross-organization.

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 development of data-intensive enhancements. You'll research the latest features, data structures, and algorithms in the industry to ensure we're building the right capabilities for our users. You'll work directly with our partners and product teams to understand their needs and build out a strategic vision for the longer term. You'll bring your past experience in analytics systems to help build and drive an innovative roadmap for ES|QL and the compute engine. As an authority in several areas of Elasticsearch, everyone will turn to you when they have a question about that area. You'll improve those areas based on your questions and your instincts.

Our globally distributed team of expert engineers is focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. This inclusive team collaborates closely with other user experience teams, crafting a friendly user interface, and with teams closer to the customer, building solutions on top of these APIs (Search, Security, Observability)

Finally, we write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring:

Experience leading technical projects in the data and enterprise architecture areas. You bring proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systems.
Experience mentoring expert engineers, providing technical and professional guidance.
Experience defining a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmap.
Hands-on experience with search and analytics APIs, some examples may include Splunk SPL, Elasticsearch, Datadog, Dynatrace, and New Relic.
Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You have a strong desire to optimize and make use of the most efficient data structures and algorithms.
Working with a high level of autonomy, able to tackle projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and an understanding of how they work and why they work that way.
Excellent verbal and written communication skills. Collaborating on the internet is hard. We try to be supportive, empathetic, and trusting in all of our interactions. And we expect that from everyone too.

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.

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 a 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 and can view the following posters linked below:

Family and Medical Leave Act (FMLA) Poster

Employee Polygraph Protection Act (EPPA) 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.

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:

$133,100-$210,600 USD

The typical starting salary range for this role in the select locations listed above is:

$239,800-$379,300 USD

","shortDescription","

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the pot...","promoted","title","Principal Software Engineer I / II - Query Engine, Database Internals - Elastics","duration","Full Time","experienceLevel","","displayThumbnail","location","locations",[65],"id",["B","3521596618"],"displayHeadline","Work at Elastic","category","displayPublishedAt","1 days ago","displayUrl","/jobs/3521596618-principal-software-engineer-i-ii-query-engine-database-internals-elastics","shortTitle","Principal Software Engineer I / II - Query Engine, Database Inter...","shortLocation","Mountain View, CA, United States","searchCompanyPath","/jobs?keyword=Elastic","searchLocationPath","/jobs?location=Mountain+View%2C+CA%2C+United+States","searchTitlePath","/jobs?keyword=Principal+Software+Engineer+I+%2F+II+-+Query+Engine%2C+Database+Inter...",{"_66":67,"_68":69,"_70":71,"_72":73,"_74":75},"country","United States","city","Mountain View","formatted","Mountain View, CA, United States, 94040","state","CA","postal_code","94040",["D",1774483200000],"

What is The Role:

We're looking for a Senior Software Engineer to join the Elasticsearch - Analytical Engine team. This globally-distributed, completely remote team of senior engineers is responsible for building new analytics capabilities in Elasticsearch's latest aggregation framework based on a completely new compute engine, and accessed via our new piped query language called ES|QL. This is a senior software engineering role that covers the design and implementation of new features, enhancements to existing features, and resolving bugs.

What You Will Be Doing:

You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you'll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware.
You'll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. You'll get to work with the teams that build the UI to ensure a good user experience, and you'll get to work with the teams building solutions on top of these APIs
You'll be an expert in several areas of Elasticsearch, and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.
You'll 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.
You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring:

You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
You have experience with software systems engineering.
You have a strong desire to optimize and make use of the most efficient data structures and algorithms.
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, 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 excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points:

You've built things with Elasticsearch before.
You've worked in the search and information retrieval space. You're familiar with the data structures and algorithms associated with information retrieval.
You've worked on data storage technology or have experience building data analytics capabilities.
You have experience designing, leading and owning cross-functional initiatives.
You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.

Additional Information - We Take Care of Our People:

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Family and Medical Leave Act (FMLA) Poster

Employee Polygraph Protection Act (EPPA) Poster

Please see here for our Privacy Statement.

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 this role is:

$133,100-$210,600 USD

The typical starting salary range for this role in the select locations listed above is:

$159,900-$252,900 USD

Required

Preferred

Job Industries

Other

","

Elastic, the Search AI Company, enables everyone to find the answers they need in...","Senior Software Engineer - Query Engine, Database Internals - Elasticsearch",[86],["B","3522842371"],"1 months ago","/jobs/3522842371-senior-software-engineer-query-engine-database-internals-elasticsearch","Senior Software Engineer - Query Engine, Database Internals - Ela...","/jobs?keyword=Senior+Software+Engineer+-+Query+Engine%2C+Database+Internals+-+Ela...",{"_66":67,"_68":69,"_70":71,"_72":73,"_74":75},["D",1777075200000],"

What is The Role:

What You Will Be Doing:

You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you'll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware.
You'll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. You'll get to work with the teams that build the UI to ensure a good user experience, and you'll get to work with the teams building solutions on top of these APIs
You'll be an expert in several areas of Elasticsearch, and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.
You'll 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.
You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring:

You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
You have experience with software systems engineering.
You have a strong desire to optimize and make use of the most efficient data structures and algorithms.
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, 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 excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points:

You've built things with Elasticsearch before.
You've worked in the search and information retrieval space. You're familiar with the data structures and algorithms associated with information retrieval.
You've worked on data storage technology or have experience building data analytics capabilities.
You have experience designing, leading and owning cross-functional initiatives.
You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.

Additional Information - We Take Care of Our People:

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Family and Medical Leave Act (FMLA) Poster

Employee Polygraph Protection Act (EPPA) Poster

Please see here for our Privacy Statement.

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 this role is:

$133,100-$210,600 USD

The typical starting salary range for this role in the select locations listed above is:

$159,900-$252,900 USD

",[93],["B","3521780314"],"4 days ago","/jobs/3521780314-senior-software-engineer-query-engine-database-internals-elasticsearch",{"_66":67,"_68":69,"_70":71,"_72":73,"_74":75},["D",1777428956000],"Marlabs LLC","Base pay range
$120,000.00/yr - $120,000.00/yr

Location
Location: Austin, TX (3 days' work from office)

Discovery Phase
During the discovery stage, it will be 5 days working from office for the first 4 weeks of discovery

Profiles
The profiles we are getting mostly are on their recent GenAI experience only. We need Strong Data Scientist and ML Engineer/GenAI Engineer background, fine if elastic search is not available,

Mandatory Skills
ElasticSearch, OpenSearch, Python, LLM, GenAI, Semantic Search, Re-Ranking, AWS, Search Engineer

Job Description
We are looking for an AI Engineer to modernize and enhance our existing regex/keyword-based ElasticSearch system by integrating state-of-the-art semantic search, dense retrieval, and LLM-powered ranking techniques.

This role will drive the transformation of traditional search into an intelligent, context-aware, personalized, and high-precision search experience .

The ideal candidate has hands‑on experience with ElasticSearch internals , information retrieval (IR) , embedding-based search , BM25 , re‑ranking , LLM‑based retrieval pipelines , and AWS cloud deployment .

Modernizing the Search Platform

Analyze limitations in current regex & keyword-only search implementation on ElasticSearch.

Enhance search relevance using:

Synonyms, analyzers, custom tokenizers

Boosting strategies and scoring optimization

Introduce semantic / vector‑based search using dense embeddings.

Implement LLM‑powered search workflows including:

Query rewriting and expansion

Embedding generation (OpenAI, Cohere, Sentence Transformers, etc.)

Re‑ranking using cross‑encoders or LLM evaluators

Build RAG (Retrieval Augmented Generation) flows using ElasticSearch vectors, OpenSearch, or AWS‑native tools.

Search Infrastructure Engineering

Build and optimize search APIs for latency, relevance, and throughput.

Design scalable pipelines for:

Indexing structured and unstructured text

Maintaining embedding stores

Real‑time incremental updates

Implement caching, failover, and search monitoring dashboards.

Deploy and operate solutions on AWS , leveraging:

OpenSearch Service or EC2‑managed ElasticSearch

Lambda, ECS/EKS, API Gateway, SQS/SNS

Implement CI/CD for search models and pipelines.

Conduct A/B experiments to measure improvements.

Tune ranking functions and hybrid search scoring.

Partner with product teams to refine search behaviors with real usage patterns.

Required Skills & Qualifications

10 years of experience in AI/ML, NLP, or IR systems , with hands‑on search engineering.

Strong expertise in ElasticSearch/OpenSearch : analyzers, mappings, scoring, BM25, aggregations, vectors.

Experience with semantic search :

Embeddings (BERT, SBERT, Llama, GPT‑based, Cohere)

Vector databases or ES vector fields

Working knowledge of LLM‑based retrieval and RAG architectures .

Proficient in Python ; familiarity with Java/Scala is a plus.

Hands‑on AWS experience (OpenSearch, SageMaker, Lambda, ECS/EKS, EC2, S3, IAM).

Experience building and deploying APIs using FastAPI/Flask and containerizing with Docker .

Familiar with typical IR metrics and search evaluation frameworks.

Preferred Skills

Knowledge of cross‑encoder and bi‑encoder architectures for re‑ranking.

Experience with query understanding , spell correction, autocorrect, and autocomplete features.

Exposure to LLMOps / MLOps in search use cases.

Understanding of multi‑modal search (text + images) is a plus.

Experience with knowledge graphs or metadata‑aware search.

#J-18808-Ljbffr","Base pay range
$120,000.00/yr - $120,000.00/yr

Location
Location: Austin, TX (3 days' work from office)

Discovery Phase<...","Marlabs LLC is hiring: Artificial Intelligence Engineer in Austin",[108],["B","3521627659"],"Work at Marlabs LLC","4 hours ago","/jobs/3521627659-marlabs-llc-is-hiring-artificial-intelligence-engineer-in-austin","Austin, TX, United States","/jobs?keyword=Marlabs+LLC","/jobs?location=Austin%2C+TX%2C+United+States","/jobs?keyword=Marlabs+LLC+is+hiring%3A+Artificial+Intelligence+Engineer+in+Austin",{"_66":67,"_68":109,"_70":110,"_72":111,"_74":112},"Austin","Austin, TX, United States, 78716","TX","78716",["D",1777345200000],"Elsevier","Elsevier is seeking a Principal Search Engineer specializing in Lucene, Elasticsearch, and Solr for its Pennsylvania location. This role focuses on designing and implementing complex search and retrieval systems while mentoring team members. The ideal candidate possesses a strong background in Java, Python, or Scala, and expertise in building scalable search systems. Offering a competitive salary range from $115,400 to $192,300, this position is integral to developing data infrastructure that enhances research and innovation worldwide.
#J-18808-Ljbffr
","Elsevier is seeking a Principal Search Engineer specializing in Lucene, Elasticsearch, and Solr for its Pennsylvania location. This role focuses on...","Principal Search Architect: Lucene, Elasticsearch & Solr",[126],["B","3523119972"],"Work at Elsevier","/jobs/3523119972-principal-search-architect-lucene-elasticsearch-solr","Phila, PA, United States","/jobs?keyword=Elsevier","/jobs?location=Phila%2C+PA%2C+United+States","/jobs?keyword=Principal+Search+Architect%3A+Lucene%2C+Elasticsearch+%26+Solr",{"_66":67,"_68":127,"_70":122,"_72":128},"Phila","PA",8752,"name","Newsday Media Group","agency","logo","https://production-rails-default.s3.us-east-2.amazonaws.com/public/legacy-logos/351727.GIF","slug","newsday-media-group","

Newsday Media Group is a locally owned, independent media company grounded in journalistic excellence, integrity, and commitment to the communities it serves. With 19 Pulitzer Prizes and dozens of Emmy Awards, it's one of the most decorated news organizations in the country.

The company is in the middle of a significant transformation, expanding from its newspaper roots into a multimedia operation spanning digital, video, podcasts, live events, and data-driven civic engagement. NMG properties include the flagship Newsday and Newsday.com, NewsdayTV, the Newsday Live events series, and nextLI, a civic research and community forum platform funded by The Rauch Foundation.

A new 130,000-square-foot headquarters in Melville features a broadcast-quality TV studio and multimedia production space. Newsday Live produces a growing calendar of food and wine tastings, author talks, sports Q&As, concerts, and community events. Feed Me, the company's food and dining vertical, includes a web series, quarterly print magazine, and restaurant coverage. Brand 360, the in-house content studio, partners with advertisers across healthcare, education, energy, tourism, and retail.

Newsday's investigative unit has driven real-world change, from prompting schools to replace unsafe football helmets to contributing reporting that led to federal corruption convictions. Community programs include the Newsday Marching Band Festival, CheerFest, Scholar-Artist honors, and partnerships with local nonprofits focused on hunger, housing, youth education, and child welfare.

For people who care about local journalism, multimedia storytelling, and community impact, Newsday is doing the work at scale.

","Melville, NY","coloredLogo","logoAttachment","thumbnail","thumbnailAttachment","newsday.jpg","hexCode","#D52B1E","headline","Award-Winning Local Media Powerhouse Serving Long Island & New York City","/companies/newsday-media-group","https://production-rails-default.s3.amazonaws.com/uploads/company/thumbnail_attachment/8752/newsday.jpg",["B","3523233780"],["D",1777305600000],"indexedAt","Search Engineer (Sunnyvale)","Search Engineer - JD
Tech stack: Java, Apache Solr -> OpenSearch (Lucene)
Senior Engineer with strong hands-on experience running Apache Solr or ElasticSearch / OpenSearch at scale (> 1B+ documents)
Solid understanding of distributed systems internals such as sharding and coordination, along with experience in performance tuning.
To assist redesigning the document search index to improve search latencies

","descriptionText","Search Engineer (Sunnyvale) Excelon Solutions Search Engineer - JD Tech stack: Java, Apache Solr -> OpenSearch (Lucene) Senior Engineer with strong hands-on experience running Apache Solr or ElasticSearch / OpenSearch at scale (> 1B+ documents) Solid understanding of distributed systems internals such as sharding and coordination, along with experience in performance tuning. To assist redesigning the document search index to improve search latencies","Search Engineer - JD
Tech stack: Java, Apache Solr -> OpenSearch (Lucene)
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