Software QA Engineer

Our client is revolutionizing the way businesses connect, secure, and optimize their networks. Their mission is to enable secure anywhere, anytime access to anything. As a recognized leader in Secure SD-WAN, SSE (Secure Service Edge), and SASE (Secure Access Service Edge), they empower organizations worldwide to transform their IT infrastructure for the modern cloud and AI era.

Their innovative AI-powered platform delivers seamless, scalable, and secure digital experiences — no matter where users, devices, or applications are located. Founded by industry veterans and backed by top-tier venture capital firms, our client is a market leader driving innovation and positioning itself for a future IPO.

They foster a culture of innovation, collaboration, and customer success. Their team consists of passionate, forward-thinking professionals shaping the future of networking technology. They encourage creativity, support professional growth, and provide a dynamic environment where people can thrive and make a real impact.

We are seeking a highly motivated Software QA Engineer on behalf of our client to validate and ensure the quality of their next-generation SASE, SSE, and SD-WAN platforms. This role involves end-to-end testing across distributed systems, debugging complex networking issues, and leveraging AI-driven automation to enhance testing efficiency and coverage.

You will collaborate closely with engineering, product, and support teams to deliver high-quality, carrier-grade networking and security solutions.

• Execute comprehensive regression test suites across multiple platforms to validate:
• SD-WAN, SASE, and SSE solutions
• API-based protection and real-time security services
• Virtual CPE (vCPE), SD-Router, and VMS
• Analyze, debug, and triage regression test failures across networking and security domains
• Identify root causes and work with engineering teams to resolve product issues
• Develop fixes and enhancements for automation frameworks and test workflows
  
  Leverage AI tools to automate regression execution, failure analysis, and issue remediation
• Troubleshoot and resolve testbed infrastructure issues (networking, systems, and environment)
• Collaborate cross-functionally to improve test coverage, quality processes, and release readiness

• Strong foundation in computer networking concepts (TCP/IP, routing, switching, DNS, and network security)
• Hands-on experience validating IPSec VPN and SSL VPN solutions in enterprise or service provider environments
• Experience testing SASE, SSE, and/or SD-WAN platforms with an end-to-end quality focus
• Proven experience qualifying networking or VPN products across multiple OS platforms (Windows, macOS, iOS, Android, Linux)
• Familiarity with enterprise authentication technologies (LDAP, RADIUS, SAML 2.0, PKI, MFA)
• Strong troubleshooting skills using packet capture tools (Wireshark, tcpdump) and system-level diagnostics
• Experience building and maintaining QA automation frameworks using Python, Bash, or similar scripting languages
• Working knowledge of OS-level debugging and system internals (Linux, Windows, and/or macOS)

Santa Clara, CA (Hybrid) Applicants must be authorized to work in the United States

The expected pay range for this position in California is $150,000 – $180,000
. Actual compensation will be based on job-related skills, experience, relevant education, certifications, and other business needs.

Our client invests in their people both professionally and personally. Their comprehensive benefits package includes:

• Competitive Compensation
  :
  Attractive salary + pre-IPO equity
• Health & Wellness
  :
  Comprehensive medical, dental, and vision coverage
• Paid Time Off
  :
  Generous PTO, sick leave, and paid holidays
• Flexible Work
  :
  Hybrid and remote-friendly options
• Professional Development
  :
  Training, certifications, and career growth opportunities
• Recognition
  :
  Regular awards and recognition programs
• Collaborative Culture
  :
  Inclusive, innovative, and supportive environment
• Parental Leave
  :
  Generous family leave policies