Senior Software Dev QA Specialist (Senior Product Design Specialist)

• Design solutions for cybersecurity products, including WAF, Load Balancer, firewall, and more.
• Design integrated solutions using diverse cybersecurity products to combat a range of threats, including DDoS attacks, automated threats, sensitive data breaches, web attacks, and other advanced cyber threats.
• Research, evaluate, and design AI-powered threat detection solutions, including anomaly detection, behavioral analysis, and ML-driven attack classification.
• Analyze security risks associated with LLM and Generative AI applications, including prompt injection, model abuse, data leakage, and AI-specific API threats; design and validate corresponding protection strategies.
• Develop and optimize security solutions for cloud platforms and SaaS products.
• Research the latest developments in cybersecurity, conduct competitive analyses, and continuously incorporate new technologies, methodologies, and features — with a focus on emerging AI/ML-driven attack vectors and defense mechanisms — into product designs.
• Produce Product Requirement Documents (PRDs), write articles, and conduct knowledge-sharing sessions within the team.

• Strong background in cybersecurity technologies such as WAF, API Security, Bot Management, Load Balancing, Firewall, DDoS protection, or SaaS/cloud platform security.
• Solid understanding of network protocols, such as TCP/IP and HTTPS/SSL, as well as routing and switching technologies.
• Proficiency in scripting languages for tasks like data analysis, attack analysis, and security testing.
• Solid understanding of AI/ML concepts applied to cybersecurity, such as anomaly detection models, behavioral profiling, and AI-driven threat intelligence .
• Familiarity with LLM and Generative AI security risks, including but not limited to prompt injection, jailbreaking, model inversion, and sensitive data exposure through AI APIs.
• Experience evaluating or designing security controls for AI-powered applications and services (e.g., Retrieval-Augmented Generation pipelines, AI agents, LLM-integrated APIs) is a strong plus.
• Experience with virtualization and cloud-native security practices is a plus.
• Familiarity with web application vulnerabilities is an advantage, including the OWASP Top 10 and the OWASP Top 10 for LLM Applications.
• Knowledge of Machine Learning and Big Data analysis is an advantage.
• Strong written and verbal communication skills.
• Excellent problem-solving and troubleshooting abilities.
• Highly motivated, responsible, and a quick learner

The Canada base salary range for this full-time position is expected to be between $85,000 - $115,000 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.

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.