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DevOps Developer – AI Initiative

at Fortinet

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 11 hours ago

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Compensation: $92,300 – $112,800 CAD
City: Vancouver
Country: Canada

Join Fortinet as a DevOps Developer for an AI initiative in Burnaby, BC. This hands-on role blends software development, infrastructure, and applied GenAI to deploy, monitor, and scale production-grade AI-enabled systems. You will own the deployment pipeline from code commit to production, manage cloud infrastructure across AWS/GCP/Azure, and implement observability and incident response. This role is ideal for engineers who thrive at the intersection of AI, DevOps, and cybersecurity, delivering reliable, scalable GenAI-powered solutions.

Location: Burnaby, BC, Canada

Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At Fortinet, our mission is to safeguard people, devices, and data everywhere

We're seeking a versatile engineer who thrives at the intersection of software development, infrastructure, and applied AI. This is a hands-on role for someone who not only writes clean, production-ready code but also takes ownership of deploying, monitoring, and scaling it in real-world environments. You'll be instrumental in building and operationalizing GenAI-powered systems, bridging the gap between innovative AI capabilities and reliable production infrastructure.

What You'll Do

Development & Engineering

Design and implement production-grade applications and services, writing code that other engineers will build upon
Build APIs, microservices, and full-stack applications that integrate LLMs and GenAI capabilities into production workflows
Develop tooling and frameworks that make GenAI adoption easier and more reliable across the organization

DevOps & Infrastructure

Own the deployment pipeline from code commit to production, including CI/CD automation, containerization, and orchestration
Manage cloud infrastructure (AWS/GCP/Azure), ensuring systems are scalable, resilient, and cost-effective
Implement monitoring, observability, and incident response practices to maintain system reliability

Applied GenAI

Integrate and optimize LLM-based solutions, working with APIs from providers like OpenAI, Anthropic, or open-source models
Develop prompt engineering frameworks, retrieval-augmented generation (RAG) systems, and agent-based architectures
Evaluate and iterate on AI system performance, balancing accuracy, latency, cost, and user experience

What We're Looking For

Technical Foundation

5+ years of software engineering experience with strong proficiency in modern programming languages (Python, Go, TypeScript/JavaScript, or similar)
Deep understanding of system design, APIs, databases, and distributed systems
Hands-on experience with cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), and infrastructure-as-code (Terraform, CloudFormation)

DevOps & Operations Mindset

Proven track record of deploying and maintaining production systems at scale
Experience with CI/CD pipelines, automated testing, and deployment strategies
Comfort with debugging production issues, analyzing logs, and implementing fixes quickly
Have concept on AI cost and FinOps

GenAI & ML Experience

Practical experience building and maintaining applications with LLMs or other GenAI technologies
Understanding of agentic frameworks (e.g. LangChain, LangGraph), protocols (e.g. MCP, A2A), vector databases, embeddings, and semantic search
Familiarity with AI/ML workflows, model evaluation and responsible AI practices

Cybersecurity Understandings

Strong grasp of secure coding practices, including input validation, authentication, and authorization patterns
Experience implementing secrets management, API key rotation, and secure credential handling in production environments
Understanding of data privacy concerns specific to GenAI systems, including prompt injection risks, data leakage prevention, and PII handling
Knowledge of network security, encryption in transit and at rest, and secure cloud architecture patterns

Working Style

You're pragmatic and results-driven, preferring working solutions over perfect abstractions
You take ownership of problems end-to-end rather than throwing work over the wall
You're comfortable with ambiguity and can navigate the rapidly evolving GenAI landscape
You're comfortable to collaborate with colleagues in geographically distributed teams

Nice to Have

Experience with MLOps platforms and model serving infrastructure, background in both traditional software engineering and data/ML engineering roles, contributions to open-source projects in the AI/ML space.
Certifications on public clouds, Kubernetes (e.g. CKAD / CKA), cybersecurity (e.g. from ISC2) and Fortinet (i.e. NSE) is a plus!

Why This Role Matters

The GenAI revolution requires engineers who can move beyond proof-of-concept demos to build reliable, production-grade systems within the organization. This role offers the opportunity to shape how AI capabilities are integrated into real applications while maintaining the operational excellence that users depend on.

About Our Team:

Join our team, known for its collaborative ethos, working seamlessly with global customers, internal engineering teams and product development groups. Our team culture emphasizes continuous learning, innovation, and a strong commitment to customer satisfaction. We embrace Fortinet’s core values of openness, teamwork and innovation, fostering an environment where team members support each other, share knowledge, and leverage AI to solve complex technical challenges. Our inclusive and dynamic team thrives on collaboration and is driven by the shared goal of maintaining Fortinet’s high standards of excellence in cybersecurity solutions.

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 well-being. 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 660,000+ customers around the globe.

The Canada base salary range for this full-time position is expected to be between $92,300 - $112,800 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.

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