Semaphore Solutions

Title: Java Developer (Remote Permanent Opportunity) Location: Remote Job Description: 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

• Work directly with customers to enhance their experience with Labbit • Triage Tier 1 issues and route internal requests • Escalate requests that require additional support • Prepare technical documentation on product usage and troubleshooting • Drive process documentation while monitoring queues for customer-reported issues • Maintain strong written and verbal communication for customer support • Be service-oriented and thrive in a dynamic team environment

• Monitor, respond to, and resolve production incidents and operational issues • Manage routine operational tasks that currently consume team capacity (deployments, configuration changes, access management, maintenance windows) • Participate in on-call rotation: Share responsibility for after-hours production support • Work with support and development teams to troubleshoot and resolve platform issues • Execute and validate infrastructure changes in production environments • Update and improve documentation for operational procedures • Handle patches, upgrades, certificate renewals, and other recurring operational tasks • Monitor system health, respond to alerts, and maintain SLAs • Spot repetitive manual work and build automation to eliminate it • Create scripts, utilities, and self-service tools to reduce operational burden • Improve observability to catch issues before they become incidents • Reduce friction and manual steps in release and deployment workflows • Enable developers to handle routine tasks without infrastructure team involvement • Convert manual procedures into automated, repeatable infrastructure code (Terraform) • Leave behind improved runbooks, automation, and processes • Help quantify operational burden and demonstrate reduction over time • Free up permanent team members for strategic initiatives • Support development teams' infrastructure needs and unblock their work • Capture operational knowledge and procedures that exist only in people's heads • Provide clear documentation and knowledge transfer for systems and automation you build • Participate in team rituals: Standups, retrospectives, and planning to stay aligned with team priorities