Contact center, CX and cloud data engineering for enterprise clients
Zerviz Technologies delivers contact center and CRM implementations, and its stack shows real telephony depth: Asterisk, FreePBX and Pipecat alongside Kubernetes, Terraform and Ansible point to self-built, containerized voice infrastructure. A second thread is AWS data engineering (Glue, Athena, Lake Formation, KMS), and the open pain points around data lakes in regulated environments suggest compliance-heavy client work is driving current engineering-led hiring.
Zerviz Technologies is a privately held technology services firm founded in 2017 and headquartered in San Francisco, with 51–200 employees. The company focuses on customer experience, digital transformation and contact center solutions, including cloud contact center and omnichannel CRM implementations. It works with clients from solution design through implementation. Its delivery spans voice platforms, CRM systems such as Salesforce and HubSpot, and cloud data platforms on AWS, with Azure and GCP also in the stack. Current hiring is concentrated in the United States.
Zerviz uses Asterisk, FreePBX and Pipecat for voice, Docker, Kubernetes, Terraform and Ansible for infrastructure, AWS services like Glue, Athena and Lake Formation for data, plus Salesforce and HubSpot.
Projects include an Asterisk-based voice platform running on Kubernetes, CI/CD and infrastructure automation, and large-scale data lakes built for regulated environments with security and access controls.
Yes. Hiring is accelerating and centered on mid- and senior-level engineering, with additional data roles, all based in the United States.
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Zerviz Technologies'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.