Software-defined storage and hyperconvergence for cloud-native infrastructure
DataCore builds software-defined storage and hyperconvergence solutions for enterprise data infrastructure, founded in 1998. The tech stack reveals a Kubernetes-first engineering orientation (Red Hat, Ubuntu, Kubernetes, etcd, Flux, Prometheus, Grafana) paired with cloud platforms (AWS, Azure), while active projects center on Kubernetes platform components, REST APIs in Python, and cloud-native storage architecture. Pain points around Kubernetes day-2 operations and distributed system reliability suggest the company is shifting from legacy storage virtualization toward containerized, cloud-native deployments.
DataCore is a privately held infrastructure software company headquartered in Paris with 201–500 employees. The company specializes in software-defined storage, hyperconvergence, and parallel I/O technologies designed to unlock unused capacity in multi-core servers and modern data centers. Product focus spans storage virtualization, cloud-native architectures, and containerized platforms. The engineering-heavy hiring mix (5 roles) paired with sales coverage (2 roles) indicates a technical sales model. Current hiring spans Germany, Ukraine, India, and the United States.
Core: Red Hat Enterprise Linux, CentOS, Ubuntu, Kubernetes, etcd, Flux. Storage: IBM Spectrum Scale, GPFS. Observability: Prometheus, Grafana. Languages: Python, Go, Bash. Deployment: AWS, Azure, VMware ESXi.
Kubernetes platform components, cloud-native storage architecture, REST API development in Python, containerization automation pipelines, and Pulse8 feature launches. Core challenges include Kubernetes day-2 operations, distributed system reliability, and scaling petabyte-level storage.
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