Senior Software Developer, Elastic
Analytical Engine, Database Internals
CA$128.3-203k
Salary applicable to Canadian applicants and may vary in further locations. + Stock Program
Software that searches and analyses data in real time
Be an early applicant
Software that searches and analyses data in real time
1001+ employees
Be an early applicant
CA$128.3-203k
Salary applicable to Canadian applicants and may vary in further locations. + Stock Program
1001+ employees
Company mission
To build software to make data usable in real-time and at scale for search, logging, security, and analytics use cases.
Role
Who you are
- 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
- Experience with software systems engineering
- 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
- Excellent verbal and written communication skills. Collaborating on the internet is hard. We try to be supportive, appreciative, and trusting in all of our interactions. And we expect that from everyone too
Desirable
- 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 with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and an understanding of how they work and why they work that way
- Experience working with open source projects and familiar with different styles of source control workflow and continuous integration
What the job involves
- We're looking for a Senior Software Developer to join the Elasticsearch - Analytical Engine team
- This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s new compute engine, and accessed via our new piped query language called ES|QL
- This is an engineering role that entails using your knowledge in this space in order to design and build the next generation of ES|QL capabilities
- 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 full time Elasticsearch contributor, you will design and contribute to the development of data-intensive improvements
- You’ll research the latest features, data-structures, and algorithms in the industry to ensure we’re building the right capabilities for our users
- As an authority in several areas of Elasticsearch, everyone will turn to you when they have a question
- 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 APIs 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 capabilities (Search, Security, Observability)
- Finally, we write idiomatic modern Java -- Elasticsearch is 99.8% Java!
Our take
Elastic develops the Elastic Stack, an open-source set of tools that includes Elasticsearch, Kibana, Beats, and Logstash, designed for data search and analysis. It also offers X-Pack, which adds commercial features to the Elastic Stack, and Elastic Cloud, a suite of SaaS (Software-as-a-Service) products.
This technology is widely used by major companies like eBay, Wikipedia, Yelp, Uber, Lyft, Tinder, and Netflix, along with over 17,000 other organizations. It is applied in various use cases, including application and website search, enterprise search, logging, infrastructure monitoring, application performance management (APM), security analytics (enhancing SIEM applications), and business analytics.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations
- Craft your calendar: Flexible location and schedule for most roles
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent)
Company HQ
Union Square, San Francisco, CA
Leadership
Shay Banon
(Co-Founder & CTO)Previously held the position of Technology Director at GigaSpaces Technologies.
Simon Willnauer
(Co-Founder)Previously spent 13 years at The Apache Software Foundation, holding various positions such as VP Apache Lucene and Lucene Core Commiter and PMC Member.
Uri Boness
(Co-Founder)Previously worked as a Software Architect and Head of Search at Orange11 for 7 years.
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