
Axual delivers an enterprise‑grade streaming platform that empowers mid‑size to large organizations to ingest, process, and act on real‑time data from customers, processes, partners, and sensors. Built on proven event‑driven architecture and Apache Kafka, the platform supports real‑time customer interaction, process automation, and intelligent analytics—including predictive insights and anomaly detection—across finance, logistics, retail, telco, and utilities. Axual’s solution, stable since 2016, emphasizes security, scalability, and seamless integration with existing ecosystems, enabling what customers call the “Internet of Business.” The company’s focus on high‑volume, high‑velocity data streams and its battle‑tested reliability make it a distinctive partner for organizations seeking to transform operations through real‑time intelligence.
Axual is looking for a Platform Engineer to ensure their platform is always reliable, scalable, and evolving. The ideal candidate will have experience managing Kubernetes in production environments, automating deployments with Terraform and ArgoCD, and development skills in Python or Go.
Axual delivers an enterprise‑grade streaming platform that empowers mid‑size to large organizations to ingest, process, and act on real‑time data from customers, processes, partners, and sensors. Built on proven event‑driven architecture and Apache Kafka, the platform supports real‑time customer interaction, process automation, and intelligent analytics—including predictive insights and anomaly detection—across finance, logistics, retail, telco, and utilities. Axual’s solution, stable since 2016, emphasizes security, scalability, and seamless integration with existing ecosystems, enabling what customers call the “Internet of Business.” The company’s focus on high‑volume, high‑velocity data streams and its battle‑tested reliability make it a distinctive partner for organizations seeking to transform operations through real‑time intelligence.