Our enterprise AI security gateway protects LLM traffic by detecting prompt injections, preventing data leakage, and enforcing compliance policies before requests reach model providers.

You will build the management console empowering security and platform teams to configure guardrails, control model access and budgets, and investigate AI traffic.

What You'll Do

• Apply rigorous design judgment to deliver clean layouts, enforce design system consistency, and leverage AI-assisted iteration workflows safely without introducing UI regressions.

• Connect pages to our Go backend through typed, contract-generated API clients.

• Deliver data-dense interfaces, including filterable tables, multi-step validation forms, and analytics dashboards.

• Write component tests for every feature you ship, covering error and edge-case states.

• Work with UX on design consistency and with backend engineers on API shapes.

What We're Looking For

• Bachelor's or Master's in Computer Science, Software Engineering, or a related field.

• Frontend experience from an internship, co-op, coursework, or personal projects.

• Solid JavaScript (ES2022+) and working knowledge of TypeScript.

• React fundamentals: components, hooks, state, controlled forms.

• Comfortable with HTML/CSS layout, HTTP/REST and JSON, and Git.

• Attention to detail in validation, loading, empty, and error states.

Nice to Have

• Experience with a design system (Material UI, Ant Design) or token-based theming.

• Hands-on testing experience, such as unit tests (Jest, Vitest, Testing Library) or end-to-end tests (Playwright, Cypress).

• Data visualization (D3, Recharts, ECharts).

• Understanding of authentication, role-based access, or multi-tenant applications.

• Interest in LLMs and AI security — prompt injection, data leakage, cost control.

• Effective, well-reviewed use of AI coding assistants.

• Exposure to Docker, Kubernetes, or CI pipelines.

• Cybersecurity knowledge.

Why Join You'll ship customer-facing features on a product at the forefront of enterprise AI security, and learn contract-first full-stack development, enterprise design systems, and real testing discipline along the way.

Must be authorized to work in the U.S. without sponsorship.

The US base salary range for this full-time position is $123,000-$151,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program.

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, experience, and geographic location.

All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company’s discretion.