AI-powered unified networking and security platform (SASE)
Versa builds a converged SD-WAN, SSE, and SD-LAN platform under the SASE banner, with AI automation at the core. The tech stack reveals a systems-level engineering focus: kernel-space networking (packet forwarding, EVPN, BGP, IPsec), security primitives (DLP, CASB, SSL VPN), and active work on real-time monitoring and ML data pipelines. Hiring is heavily weighted toward senior engineering (27 of 47 roles), with concurrent investment in sales and channel partnerships—typical for enterprise infrastructure vendors scaling GTM alongside product maturation.
Notable leadership hires: Channel Sales Director
Versa Networks develops a unified SASE platform that consolidates network and security infrastructure into a single AI-powered control plane. The product converges SD-WAN (software-defined WAN), SSE (secure service edge), and SD-LAN capabilities, targeting mid-to-large enterprises and managed service providers managing distributed workforces and multicloud environments. Founded in 2012 and based in Santa Clara, the company operates globally with thousands of customers spanning hundreds of thousands of sites and millions of end users. The engineering organization is focused on high-performance packet forwarding, real-time observability, and security validation—core concerns for infrastructure at scale.
Versa uses Python, C++, Java, and Perl for core development. Networking: SD-WAN, SASE, EVPN, BGP, OSPF, IPsec, and Cisco/Juniper/Arista integration. Security: CASB, DLP, SAML, LDAP, Active Directory. Tooling: Jira, Bugzilla, GDB, strace. Currently adopting Secure SD-WAN, DLP, and CASB at scale.
Versa has active hiring in the United States, India, France, Indonesia, and Philippines, with notable openings for channel sales leadership and senior engineering roles across these regions.
Versa Networks'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.