Java Developer (Remote Permanent Opportunity)

Remote Full-time
THIS IS A 100% REMOTE ROLE. WE ARE OPEN TO MID LEVEL TO ARCHITECT LEVEL CANDIDATES

About NTENT

We are a unique group of brilliant minds intent on discovering, learning and building. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry and build cutting edge Machine Learning and AI based applications.

NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Search technologies directly into their business-to-consumer offerings. NTENT utilizes advanced machine learning to decipher meaning and surface the most relevant answers.

About the Opportunity:

We are looking for a mid to architect level Java Developer who will have the ability to deliver world-class search engine technologies. You'll be working with a smart team of machine learning scientists and software developers on both full applications and tools that power NTENT’s powerful search platform.

Duties and Responsibilities:
β€’ Building the backend engine that runs our product. This includes extending our existing Machine Learning and Big Data pipelines and building entirely new capabilities, including:
β€’ Big Data cluster, workflows and applications: data pipelines at scale, and real-time processing
β€’ Machine learning and Data Scientist support: used in linguistics, ranking, classification, and other artificial intelligence applications
β€’ Ingestion Pipeline: process data that comes from our web crawler which discovers and fetches content from the web and other sources

Skills and Qualifications:
β€’ Bachelors of equivalent years of experience
β€’ Solid experience with Java programming (we also use Spring, Spring Webflux, Reactor, Netty)
β€’ Multi-threading experience is a must
β€’ Experience in scalable architectures and high-throughput application design
β€’ Experience working with microservices/REST APIs (HTTP, XML, JSON)
β€’ Comfortable in Linux and Windows environments.
β€’ Prefer some experience with Big Data Technologies (at least one of the following):
β€’ Hadoop ecosystem (HDFS, Hadoop, Hive)
β€’ Spark
β€’ Samza
β€’ Kafka
β€’ Aerospike
β€’ Lucene NLP (Solr or ElasticSearch)

The following experience is a plus:
β€’ Machine Learning
β€’ Continuous Integration and Deployment
β€’ Tool usage: Git/Gitlab and IntelliJ
β€’ Functional programming experience (Scala)
β€’ Gradle
β€’ Avro
β€’ Docker/Kubernetes

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