Elastic is an open source search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at elastic.co

At Elastic, we see endless possibilities in a world of endless data. And we use the power of search to help people and organizations turn that possibility into results. Elastic is the leading platform for search-powered solutions. With solutions in Enterprise Search, Observability, and Security, we help improve customer and employee search experiences, keep critical applications running smoothly, and protect against cyber threats. Elastic enables organizations worldwide to use the power of Elastic, including Netflix, Uber, BBC, Microsoft, and thousands of others.

Elastic was built on a foundation of being free and open, which trickles down to how we work. We’re a distributed organization and have been from the beginning. Being distributed isn’t just a way of doing business—it’s a mentality that is at the core of our culture.

 

We are looking for a Java Engineer to join our Machine Learning core team. You will help us to build the platform and components that enable customers to gain insight from their data - using techniques such as anomaly detection, categorization, AIOps and information retrieval.

This is the team that builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform - making these available for our Search, Observability and Security Solutions. You will be working and collaborating with exceptional engineers in the Machine Learning and Elasticsearch teams.

To apply, you do not need to be a Machine Learning expert as your experience as a great software engineer with a track record of delivery in enterprise software platforms is key to success in this role. 

 

What you will be doing

  • Build and maintain ML and advanced analytical platform components
  • Implement scalable, high quality, well-architected code
  • Support migration of platform components to a Cloud architecture
  • Collaborate with other engineering teams within Elastic that build on our platform
  • Assist our support engineers and community 
  • Promote knowledge share and collaboration in a distributed team

What you will bring

  • 3+ years industry experience in Java programming
  • Strong analytical, problem solving and troubleshooting skills
  • Ability to be part of a distributed team; self motivated, can work independently and having strong collaboration and communication skills
  • Ability to multitask 
  • Good attention to detail and highly organized
  • Real passion for data, analysis and achieving excellence
  • Your heart in the right place, a good sense of humor and a genuine interest in the people you work with

Bonus skills, useful to have, but not mandatory

  • Experience with the Elastic Stack
  • Experience with Python / Go
  • Experience in distributed systems
  • Experience developing and running software-as-a-service
  • Experience using Docker/Kubernetes
  • Open source experience
  • Some experience with supervised learning, unsupervised learning, and/or modern information retrieval systems


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:
$105,600—$167,100 USD
The typical starting salary range for this role in the select locations listed above is:
$126,900—$200,700 USD

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
  • Double your charitable giving - We match up to $1500 (or local currency equivalent)
  • 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 committed to diversity as well as inclusion. We are an equal opportunity employer and committed to the principles of affirmative action. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. If you require any reasonable accessibility support, please email candidate_accessibility@elastic.co.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Equal Employment Opportunity (EEO) Poster; and Employee Polygraph Protection Act (EPPA) Poster.

Please see here for our Privacy Statement.

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