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Versa Networks Tech Stack

AI-powered unified networking and security platform (SASE)

Software Development Santa Clara, California 501–1,000 employees Founded 2012 Privately Held

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.

Tech Stack 131 technologies

Core StackPython Jira Cisco Active Directory C++ Java Secure SD-WAN SASE CASB DLP Perl GDB strace Unix TCP/IP OpenWrt Wi-Fi Bugzilla DHCP IPsec Juniper Arista EVPN SAML LDAP SD-WAN SSL VPN Radius OSPF BGP+101 more
AdoptingActive Directory Secure SD-WAN SASE DLP CASB SAML LDAP SSL/TLS+4 more

What Versa Networks Is Building

Challenges

  • Observability and scalability
  • Expanding partner ecosystem
  • Deployment of sase solutions
  • Debugging complex networking problems
  • Incident ticket lifecycle management
  • Quality, security, and performance
  • Security validation for sase
  • Performance benchmarking for sd-wan
  • Adoption of sase solutions
  • High-performance packet forwarding

Active Projects

  • Proof-of-concept validation
  • Nextgen packet forwarding and security features for sdwan/sase/sse platforms
  • Proof of concept for versa sase solutions
  • Whitepaper and knowledge base content creation
  • Security reviews of application architecture and os-level parameters
  • Real-time monitoring infrastructure
  • Kernel-space and user-space communication mechanisms
  • Data pipeline for ml/ai products
  • Improving monitoring and debuggability of pipelines
  • Real-time network applications on a multi-core architecture

Hiring Activity

Accelerating45 roles · 15 in 30d

Department

Engineering
29
Sales
11
Data
3
Support
2
Product
1

Seniority

Senior
27
Mid
15
Manager
3
VP
1

Notable leadership hires: Channel Sales Director

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About Versa Networks

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.

HeadquartersSanta Clara, California
Company Size501–1,000 employees
Founded2012
Hiring MarketsFrance, India, United States, Indonesia, Philippines

Frequently Asked Questions

What is Versa Networks' tech stack?

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.

Where does Versa Networks hire?

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.

How this profile is built

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.