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 Apply tot his job