Senior Software Dev QA Specialist (Senior Product Design Specialist)

Fortinet•Burnaby, BC

3d•Onsite

About The Position

This role focuses on designing solutions for cybersecurity products, including WAF, Load Balancer, and firewall. The specialist will design integrated solutions to combat various threats, research and design AI-powered threat detection, analyze security risks associated with LLM and Generative AI applications, and develop security solutions for cloud platforms and SaaS products. The position involves continuous research into cybersecurity developments, competitive analysis, and incorporating new technologies into product designs, with a focus on AI/ML-driven attack vectors and defense mechanisms. The role also requires producing Product Requirement Documents (PRDs), writing articles, and conducting knowledge-sharing sessions.

Requirements

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.
Strong written and verbal communication skills.
Excellent problem-solving and troubleshooting abilities.
Highly motivated, responsible, and a quick learner

Nice To Haves

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.

Responsibilities

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.

Benefits

100% company paid medical, dental, and vision coverage
Health Spending Account
Personal Spending Account
Employee & Family Assistance Plan (EFAP) offering counseling, legal advice, mental health resources
Critical illness insurance
Disability insurance
Life insurance
Group Registered Retirement Savings Plan (RRSP) with a company match
Competitive Paid Time Off
Flexible leave policies, including paid health days
Eligibility to participate in the Fortinet equity program
Bonus eligibility