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Search Software Developer
View Job
Remote
Professional Level
05/25/2023
Closes:
12/07/2025
Job Info
Status:
Sourcing
Education:
Degree Title:
Career Level:
No of Jobs:
0
Posted:
05/25/2023
Apply Before:
12/07/2025
Description
Fully Remote - Search Software Developer - Pre IPOThis Jobot Job is hosted by: Nicole Erickson
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000 - $250,000 per year
A bit about us:
We're a fast growing, Pre-IPO internet / news company that's currently disrupting the industry. No one else is working on a product like ours which is helping millions of consumers around the world!
Why join us?
- Fully remote, work from anywhere
- Work with cutting edge technologies such as NLP (natural language processing), ML (machine learning), AI (artificial intelligence) and Search technology
- Completed our Series A funding, Series B is now open
- Very competitive salary
- Full benefits
- Bonus
- Equity
- 401k with company match
- Medical, Dental, Vision, Life Insurance, Disability
- 14 paid holidays
- Unlimited PTO (encouraged, take it when you need it)
- and more!
Job Details
The role:
This is a developer role. You're an expert with Elasticsearch (or similar, Solr, OpenSearch, etc) and you have a lot of hands-on experience. You have experience writing code to work with indexing documents into Elasticsearch and you've written code and search templates to retrieve documents out of Elasticsearch. We don't want someone that is too much on the DevOps side because we want to make sure you can put stuff into Elasticsearch and get stuff out of it rather than just sort, deploy, and maintain.
Must Haves:
- At minimum 2+ years of hands on/proven production experience with ElasticSearch (experience with Solr can work too)
- We want to see you've had experience working with some considerably sized clusters and index sizes.
- You'll have good experience with search ranking tasks (relevance, freshness, etc)
- Strong experience with custom search query templating as well as index schema design.
Pluses (not required):
- Experience and comfortability developing in Docker/Kubernetes
- Some experience with vector search would be nice
- The ability to understand and/or experience working with Machine Learning teams
- Continuous Integration and Deployment
- Some experience with crawlers/spiders & message driven indexing, especially Kafka, would be great
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.