BSS/OSS software and services for communication and media providers
Amdocs builds billing, customer management and network software for telecom and media service providers, with a stack spanning Java, Kubernetes, Terraform and all three major clouds. OpenAI, LangChain and LangGraph in use, plus a project on AI-driven invoicing automation, point to generative AI entering core billing operations. Current hiring tilts unusually toward finance, alongside US GAAP compliance and subsidiary consolidation pressures.
Amdocs is a public company headquartered in Chesterfield, MO, with more than 10,001 employees. It sells software products and services to communication and media service providers, covering BSS, OSS, CRM, ordering, customer management, and network planning and optimization. Its work centers on helping providers move to the cloud, compete in 5G, and automate operations. The company also offers outsourcing and digital services, and currently hires across India, Mexico, Canada, the United States, Armenia and the Philippines.
Amdocs uses Java, Python, Kubernetes, Docker, Terraform, Jenkins, GitLab CI/CD and Azure DevOps on AWS, Azure and GCP, plus OpenAI, LangChain and LangGraph for AI work, and Oracle, SAP and Salesforce for business systems.
Amdocs is hiring in India, Mexico, Canada, the United States, Armenia and the Philippines, with finance and engineering as the leading functions and hiring velocity accelerating.
Current initiatives include AI-driven invoicing automation, a Matrixx solution implementation, a large technology transformation program across Central America, and financial consolidation reporting.
Other companies in the same industry, closest in size
Amdocs'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.