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Full-Time

Elasticsearch – Senior Software Engineer

Vector Search, Gen AI, Lucene

Confirmed live in the last 24 hours

Elastic

Elastic

1,001-5,000 employees

Search and analyze data in real-time

Data & Analytics
Enterprise Software

Compensation Overview

$133.1k - $252.9kAnnually

+ Stock Program

Senior, Expert

Seattle, WA, USA + 3 more

More locations: San Francisco, CA, USA | Los Angeles, CA, USA | New York, NY, USA

Available in select locations including Seattle, Los Angeles, San Francisco Bay Area, and New York City Metro Area.

Category
Backend Engineering
Software QA & Testing
Software Engineering
Required Skills
Data Structures & Algorithms
Java
Postgres
Elasticsearch
MongoDB
Cassandra
Requirements
  • Professional experience with vector similarity and vector databases, and you have used IVFPQ, HNSW, 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.
Responsibilities
  • Contribute to Elasticsearch full time, building new vector 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 how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve 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!

Elastic offers search-powered solutions that enable businesses to search, analyze, and visualize data in real-time. Its primary product, Elasticsearch, is a versatile search engine that can be deployed in the cloud or on-premises, helping organizations manage large data volumes effectively. Unlike its competitors, Elastic provides flexible deployment options and additional services like consulting and training, all under a subscription-based model. The company's goal is to empower organizations to leverage their data for better decision-making and operational efficiency.

Company Stage

IPO

Total Funding

$269.6M

Headquarters

Mountain View, California

Founded

2012

Growth & Insights
Headcount

6 month growth

2%

1 year growth

11%

2 year growth

18%
Simplify Jobs

Simplify's Take

What believers are saying

  • Elastic's recent launch of Playground and Search AI Lake demonstrates its commitment to innovation and staying ahead in the AI and data analytics space.
  • Recognition with the 2024 EMA Allstars award for AI-assisted observability highlights Elastic's industry leadership and potential for continued growth.
  • Strategic acquisitions, like that of Elastic Agency by IVE Group, expand Elastic's market reach and service offerings, enhancing its competitive edge.

What critics are saying

  • The competitive SaaS market requires Elastic to continuously innovate to maintain its market position and avoid being overshadowed by larger players.
  • Integration challenges from acquisitions, such as that of Elastic Agency, could pose risks to operational efficiency and company culture.

What makes Elastic unique

  • Elastic's flagship product, Elasticsearch, offers unparalleled real-time search and data analysis capabilities, setting it apart from competitors in the SaaS market.
  • The company's diverse deployment options, including Elastic Cloud and Elastic On-Prem, provide flexibility that caters to a wide range of client needs.
  • Elastic's focus on security analytics and business analytics, combined with its robust subscription-based model, ensures a steady revenue stream and high client retention.

Benefits

Fully paid health coverage for you and your family

Flexible location and schedule for most roles.

Generous number of vacation days each year

20+ additional shut it down days

Minimum of 16 weeks of parental leave, plus generous family formation benefits.

40 hours each year to use toward volunteering

Double your charitable giving