BSS/OSS, billing and network automation software for telecom operators
Netcracker builds BSS/OSS, rating, charging and network automation software for service providers, running on a cloud-native stack of Kubernetes, OpenShift, Helm and Kafka. NETCONF, RESTCONF, gNMI and ONAP in the stack, plus projects around SD-WAN and IP/MPLS automation, point to a push into programmable B2B network services. A post-merger CRM migration and master data harmonization show internal systems consolidation alongside slowing, sales- and engineering-weighted hiring.
Netcracker Technology is a Waltham, MA-headquartered telecom software and services company founded in 1993 and owned by NEC Corporation. It sells to service providers worldwide, covering business and operations support systems, billing, rating and charging, revenue and resource management, and managed services. Its portfolio spans customer, product and device management along with AI-driven operations, automation and 5G offerings. The company has more than 10,000 employees and hires across the United States, Hungary, Israel, Latvia, the United Kingdom and Brazil.
Netcracker's stack includes Java, Go, Python, C++ and Spring, running on Kubernetes, OpenShift, AWS and Azure, with PostgreSQL, Cassandra, Oracle Database, MongoDB, Kafka and RabbitMQ, plus NETCONF, gNMI and ONAP for network automation.
Current initiatives include network automation proofs of concept, SD-WAN and IP/MPLS automation for B2B services, a post-merger CRM migration, and sales process standardization and territory alignment.
Netcracker hires in the United States, Hungary, Israel, Latvia, the United Kingdom and Brazil, with engineering and sales as the main focus areas.
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Netcracker Technology'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.