Span is a 950-person IT services firm with three decades in the market, now focused on cloud infrastructure, cybersecurity, and data platforms. The tech stack is heavily Azure-centric (DevOps, Synapse, Data Factory, Databricks) paired with Kubernetes and IaC tooling (Terraform, Bicep), reflecting active hands-on delivery of hybrid cloud and data engineering engagements. Active hiring across engineering, support, and data roles—with accelerating velocity—signals demand for implementation capacity, particularly in cloud migrations and dataops workflows.
Span operates as a multi-specialist IT services provider serving mid-market and enterprise customers across Europe, Asia, and North America. The company is publicly listed on the Zagreb Stock Exchange (as of 2021) and positions itself around three strategic pillars: cloud infrastructure (Azure migration and hybrid deployments), cybersecurity (identity and device management), and data engineering (analytics and dataops platforms). Projects include Dynamics 365 implementations, M365 migrations, GitOps-driven Kubernetes deployments, and enterprise identity automation. The pain-point backlog—hybrid cloud integration, cost optimization, and bridging business-to-data gaps—defines the typical scope of customer work.
Span runs Azure (DevOps, Synapse, Data Factory, Data Lake), Kubernetes, Terraform, Databricks, dbt, Power BI, and Windows Active Directory. Supporting tools include Prometheus, Grafana, ArgoCD for GitOps, and SQL Server. The stack reflects deep expertise in cloud infrastructure and enterprise data platforms.
Span has active hiring across Croatia, Kazakhstan, Ukraine, Greece, and Slovenia. Current open roles span engineering (11), support (6), data (5), and other functions (10), with hiring velocity accelerating. Mid-level roles dominate the pipeline.
Active delivery includes cloud adoption and hybrid deployments, Dynamics 365 and M365 migrations, GitOps-based Kubernetes orchestration (ArgoCD), Azure DevOps CI/CD pipelines, enterprise Active Directory management, and Databricks dataops workflows.
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