Principal Software QA Specialist

Job Responsibilities:

• Design and execute systemlevel and modulelevel test cases to ensure the correctness and performance of AI security firewall features including prompt filtering content moderation and response policy enforcement.
• Build and manage test datasets to simulate normal abnormal and adversarial prompts; evaluate the models ability to detect and defend against potential attacks such as prompt injection or misuse.
• Validate the overall effectiveness of model integration including key metrics such as detection accuracy false positive rate (FPR) and false negative rate (FNR) while continuously improving test coverage.
• Collaborate closely with R&D security and product teams to translate AI security requirements into verifiable test scenarios; participate in bug reproduction and root cause analysis.
• Set up test environments and conduct ongoing regression and performance/stress testing.
• Contribute to building hybrid local/cloudbased testing platforms; be proficient in containerized deployment (Docker/Kubernetes) to support flexible testing across multiple model versions and security policy configurations.
• Stay up to date with industry standards and best practices related to LLM/Generative AI security (e.g. OWASP Top 10 for LLMs) and incorporate relevant threat simulations and validations into test plans.

Job Requirements:

• Familiarity with common AI security threats such as prompt injection output manipulation data poisoning and hallucination; handson testing experience in these areas is preferred.
• Proficiency in Python programming with experience using testing frameworks such aspytest unittest or others for automated testing.
• Strong knowledge of RESTful API testing methodologies and an understanding of model inference interfaces vector databases and embedding workflows.
• Experience with containerization and cloud platforms (e.g. Docker Kubernetes AWS GCP Azure) with the ability to build and manage test environments and perform resourcelevel debugging.
• Excellent analytical and communication skills with the ability to drive issue resolution and quality improvement across crossfunctional teams.
• Prior experience in testing AI/ML systems model deployments or securityrelated products is highly desirable.

The Canada base salary range for this fulltime position is expected to be between $118000 $144000 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 candidates 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 Companys discretion.

Why Join Us:

We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial wellbeing. Embark on a challenging enjoyable and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660000 customers around the globe.