Software QA Engineer
Fortinet
Listing collected from Fortinet's career site. NextChapter is independent of Fortinet.
Santa Clara, CA · Posted May 14, 2026
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Where Santa Clara, CA ranks
Where Santa Clara, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for sales pay after cost of living$175k · of 45
- #1Best cities for product pay after cost of living$224k · of 14
- #2Best cities for operations pay after cost of living$173k · of 41
- #2Best cities for marketing pay after cost of living$192k · of 16
- #2Best all-round cities for remote workers in the West Coast85 / 100 · of 39
- #3Best cities for finance pay after cost of living$156k · of 35
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among software quality assurance analysts and testers, AI is already used for a large share of the tasks. Measured exposure for software quality assurance analysts and testers: 52% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
Fortinet is seeking a Software Development QA Engineer to join our team. This role is integral to our R&D team, ensuring the productivity, reliability, and accuracy of Fortinet's new product lines. The successful candidate will review requirements and specifications, create test plans, design detailed test specifications, and develop automated scripts/tools to evaluate devices, protocols, interfaces, and applications effectively. The QA Engineer will work efficiently to identify and address the highest risks, determining release readiness.