Location: Burnaby, BC, Canada (Hybrid)Job Category: Software-Dev QAPosting Date: 09/16/2026, 07:45 PMJob Schedule: Full time
Job Description
We are hiring a Senior / Staff QA Engineer for Fortinet’s AI security product line, FortiAIGate, to own end-to-end testing of the product across both SaaS and on-premises deployments. FortiAIGate is Fortinet’s security solution for the AI era, spanning the LLM Gateway, AI Guardrails, and Agent Security, and is deeply integrated with the Fortinet ecosystem (FortiOS, FortiManager, FortiClient, and more).
This role lets you work at the frontier of AI security while helping build out cloud-native SaaS test practices.
Responsibilities
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Own end-to-end testing of FortiAIGate across SaaS and on-premises deployments, covering functionality, integration, performance, and reliability.
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Design and implement core SaaS test capabilities: multi-tenant isolation, tenant onboarding and provisioning, metering / billing-accuracy reconciliation, and license / entitlement validation.
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Validate cloud-native capabilities: elastic scaling, zero-downtime upgrades, and failover under Kubernetes deployments (single-cluster and multi-data-center).
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Test the effectiveness of AI security capabilities: the LLM Gateway and AI Guardrails (Text / Policy / Image / Video & Audio) — detection accuracy, false-positive / false-negative regression — and validate protection effectiveness in collaboration with the red team.
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Build and maintain automated test frameworks and regression suites; drive shift-left testing and continuous validation.
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Collaborate closely with engineering (LLM Gateway / Guardrails / Agent Security / SaaS teams) and PM on test planning and release gating.
Required
Cloud / SaaS testing (must-have)
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Solid software testing background, with meaningful time focused on testing SaaS / cloud-native products.
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Hands-on multi-tenant SaaS testing experience: tenant isolation, provisioning, metering / billing, license, and other control-plane testing.
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Familiarity with Kubernetes; able to troubleshoot independently with kubectl and comfortable with concepts such as pods, services, scaling, and rolling upgrades.
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Proficiency with a performance / load-testing tool (e.g., k6, Locust, or JMeter); able to design concurrency, scaling, and high-load metering scenarios.
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Strong API-level testing (Postman or scripting) and solid test automation / scripting skills (Python or equivalent).
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Comfortable with observability-based troubleshooting: logs, metrics (p95/p99 latency, error rates), and distributed tracing.
AI / cybersecurity background (strongly preferred — one of the following)
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Experience testing AI / LLM-related products (e.g., LLM gateways, content safety / guardrails, model-serving); or
Familiarity with the Fortinet ecosystem (FortiOS / FortiManager / FortiClient) or comparable cybersecurity products.
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Understanding of AI security offense/defense, red-teaming / adversarial testing, and prompt injection.
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Familiarity with MCP / A2A, Agent Security, and NHI identity and other AI-agent areas.
Compensation & Benefits
The Canada base salary range for this full-time position is expected to be between $101,000 - $124,000 annually. Wage ranges are based on various factors including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, and experience.
Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of:
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100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account
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Employee & Family Assistance Plan (EFAP) offering access to counseling, legal advice, mental health resources, etc.
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Critical illness, disability, and life insurance
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Group Registered Retirement Savings Plan (RRSP) with a company match
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Competitive Paid Time Off and flexible leave policies, including paid health days
All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at time of hire and annually at the Company’s discretion.