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 Elastic. Search) 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