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

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