Senior Software Dev QA Specialist

Fortinet Inc.; Burnaby; On-site; CAD 101,000 - 124,000; Full time

Job summary

Fortinet Inc. is seeking a Senior/Staff QA Engineer to own end-to-end testing of FortiAIGate across SaaS and on-prem deployments. You will design core SaaS test capabilities, validate cloud-native features, and test AI security functions, collaborating with engineering and PM on release planning.

The role emphasizes shift-left testing, automated frameworks, and strong API/test automation skills. Fortinet offers comprehensive benefits and a Canada-based salary range.

Qualifications

• Cloud/SaaS testing expertise required.
• Hands-on experience with SaaS/cloud-native products.
• Multi-tenant SaaS testing incl. provisioning, metering, licenses.

Responsibilities

• Own end-to-end testing across SaaS and on-prem deployments.
• Design and implement core SaaS test capabilities.
• Validate cloud-native capabilities (elastic scaling, upgrades, failover).
• Test AI security capabilities (LLM gateway, guardrails, model safety).
• Build and maintain automated test frameworks and regression suites.
• Collaborate with engineering and PM on test planning and release gates.

Skills

Cloud testing

SaaS testing

Multi-tenant SaaS testing

Kubernetes experience

Performance/load testing

API testing

Test automation

Observability/troubleshooting

AI/cybersecurity background

Tools

Postman

Python scripting

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

• Own end-to-end testing of FortiAIGate across SaaS and on-premises deployments, covering functionality, integration, performance, and reliability.
• Design and implement core SaaS test capabilities: multi-tenant isolation, tenant onboarding and provisioning, metering / billing-accuracy reconciliation, and license / entitlement validation.
• Validate cloud-native capabilities: elastic scaling, zero-downtime upgrades, and failover under Kubernetes deployments (single-cluster and multi-data-center).
• 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.
• Build and maintain automated test frameworks and regression suites; drive shift-left testing and continuous validation.
• 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)
• Solid software testing background, with meaningful time focused on testing SaaS / cloud-native products.
• Hands-on multi-tenant SaaS testing experience: tenant isolation, provisioning, metering / billing, license, and other control-plane testing.
• Familiarity with Kubernetes; able to troubleshoot independently with kubectl and comfortable with concepts such as pods, services, scaling, and rolling upgrades.
• Proficiency with a performance / load-testing tool (e.g., k6, Locust, or JMeter); able to design concurrency, scaling, and high-load metering scenarios.
• Strong API-level testing (Postman or scripting) and solid test automation / scripting skills (Python or equivalent).
• Comfortable with observability-based troubleshooting: logs, metrics (p95/p99 latency, error rates), and distributed tracing.
• AI / cybersecurity background (strongly preferred — one of the following)
• Experience testing AI / LLM-related products (e.g., LLM gateways, content safety / guardrails, model-serving); or
• Experience testing cybersecurity / security products (firewalls, gateways, authentication, policy engines).

Nice to Have

• Familiarity with the Fortinet ecosystem (FortiOS / FortiManager / FortiClient) or comparable cybersecurity products.
• Understanding of AI security offense/defense, red-teaming / adversarial testing, and prompt injection.
• Familiarity with MCP / A2A, Agent Security, and NHI identity and other AI-agent areas.

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 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members.

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.