Java Developer (Remote Permanent Opportunity)

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: 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: Big Data cluster, workflows and applications: data pipelines at scale, and real-time processing Machine learning and Data Scientist support: used in linguistics, ranking, classification, and other artificial intelligence applications Ingestion Pipeline: process data that comes from our web crawler which discovers and fetches content from the web and other sources Skills and Qualifications: Bachelors of equivalent years of experience Solid experience with Java programming (we also use Spring, Spring Webflux, Reactor, Netty) Multi-threading experience is a must Experience in scalable architectures and high-throughput application design Experience working with microservices/REST APIs (HTTP, XML, JSON) Comfortable in Linux and Windows environments.

Prefer some experience with Big Data Technologies (at least one of the following): Hadoop ecosystem (HDFS, Hadoop, Hive) Spark Samza Kafka Aerospike Lucene NLP (Solr or ElasticSearch) The following experience is a plus: Machine Learning Continuous Integration and Deployment Tool usage: Git/Gitlab and IntelliJ Functional programming experience (Scala) Gradle Avro Docker/Kubernetes