Gigabit network design and deployment across urban and rural infrastructure
Entegro designs and deploys fiber and fixed-wireless networks for telecom operators and service providers, with heavy focus on infrastructure migrations and legacy decommissioning. The tech stack reflects field-heavy operations: Cisco, Juniper, Ciena, and OTDR/GIS tools dominate, paired with SAP for supply-chain management. Engineering dominance in hiring (26 of 31 active roles, mostly junior and mid-level) aligns with their active project load — simultaneous DC migrations, SDH/SONET upgrades, and remote turn-up operations across three countries.
Entegro is a network infrastructure company founded in 2001, headquartered in Kilkenny, Ireland, with 201–500 employees. They design, plan, and build gigabit networks (GPON, FttX, FttH) for telecommunications operators, service providers, and ISPs in urban and rural markets across the UK, Ireland, and the US. The company operates on a fully managed or modular service model, handling everything from greenfield network deployment to legacy infrastructure migration and datacentre relocation. Current workload centers on migrating customers off SDH/SONET and legacy DWDMs to modern architectures, while managing network relocations and datacenter consolidations with minimal service disruption.
Core stack: Cisco (ASR 9000, general), Juniper, Ciena (6500), plus diagnostic tools (OTDR, SONET). GIS and ArcGIS for planning; SAP for inventory and operations; Power BI for reporting.
Active work includes SDH/SONET migrations, datacentre relocations, DC/POP migrations, new ISP infrastructure builds, and Ciena 6500 remote turn-up operations for customer deployments.
Entegro's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.