This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing 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 search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance. You'll identify and drive improvements in 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 and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong 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 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 with open source projects and are familiar with different styles of source control workflow and continuous integration.
• 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. The typical starting salary range for new hires in this role is listed 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 Registered Retirement Savings Plan (RRSP) 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: $154,000-$243,600 CAD

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

XML job scraping automation by YubHub

This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

As a Principal Software Engineer, you will lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. You will 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.

You will work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch. You will be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.

You will 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 will write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. Strong 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. 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 if 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. 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. The typical starting salary range for new hires in this role is $159,800-$252,800 USD. 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.

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.

XML job scraping automation by YubHub

This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing 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.

As a Principal Software Engineer, you will lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. You will 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.

You will work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch. You will be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.

You will 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 will write idiomatic modern Java -- Elasticsearch is 99.8% Java!

We're looking for someone with professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. You have strong 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 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 if 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. You have experience designing, leading and owning cross-functional initiatives.

At Elastic, 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. We offer competitive pay based on the work you do here and not your previous salary. We provide health coverage for you and your family in many locations. We allow you to craft your calendar with flexible locations and schedules for many roles. We offer generous vacation days each year. We increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. We provide up to 40 hours each year to use toward volunteer projects you love. We embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub