
51 - 200 employees
Founded 2012
đ Manufacturing
đŚ Logistics
đź Consulting
đ° Venture Round - HiveMQ on 2025-01
Manufacturing ⢠Logistics ⢠Consulting
HiveMQ is a software company that provides an MQTT-based real-time data platform to stream, contextualize, govern, and act on operational telemetry from edge devices to enterprise systems. Its product portfolio includes a cloud-managed offering (HiveMQ Cloud), a self-managed MQTT broker, edge gateways, data hub and analytics tooling to enable always-on, mission-critical IoT and industrial workloads. HiveMQ primarily serves enterprise customers in manufacturing, energy, data centers, transportation and other industries, enabling B2B SaaS deployments that feed AI and analytics workflows with trusted, real-time data.
đ April 21
đ Germany, United Kingdom, +1 more countries â Remote
đľ âŹ58k - âŹ120k / year
â° Full Time
đ Senior
đ§âđť Full-stack Engineer
đť Ghost score 16%
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51 - 200 employees
Founded 2012
đ Manufacturing
đŚ Logistics
đź Consulting
đ° Venture Round - HiveMQ on 2025-01
Manufacturing ⢠Logistics ⢠Consulting
HiveMQ is a software company that provides an MQTT-based real-time data platform to stream, contextualize, govern, and act on operational telemetry from edge devices to enterprise systems. Its product portfolio includes a cloud-managed offering (HiveMQ Cloud), a self-managed MQTT broker, edge gateways, data hub and analytics tooling to enable always-on, mission-critical IoT and industrial workloads. HiveMQ primarily serves enterprise customers in manufacturing, energy, data centers, transportation and other industries, enabling B2B SaaS deployments that feed AI and analytics workflows with trusted, real-time data.
⢠Architect, build, and maintain the HiveMQ platform software for IoT deployments ⢠Create self-healing software systems ⢠Develop and implement concurrent and performant algorithms ⢠Refactor existing codebases and extend APIs ⢠Improve test coverage and address security vulnerabilities ⢠Identify and eliminate performance bottlenecks
⢠5+ years of experience in software engineering ⢠Experience in architecting, developing, and delivering backend applications ⢠Proficient in using Git and CI/CD tools ⢠Experience with event-driven systems and resilient inter-service communication ⢠Ability to debug complex problems ⢠Strong understanding of high-throughput data-intensive applications ⢠Familiarity with technologies like NoSQL, Kafka, Kubernetes, ArgoCD
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