1. ABOUT THE ROLE

We’re a cybersecurity company building a next-generation generative AI platform used across multiple product surfaces - from analyst workflows to internal operations tools. We’re looking for a Senior Frontend Engineer with a strong frontend focus to design, build, and scale intuitive, high-performance experiences for data-heavy, real-time use cases.

You’ll work across the stack (with emphasis on the web frontend) to turn advanced AI capabilities - reasoning, retrieval, and automation - into trustworthy, efficient user experiences. You’ll collaborate closely with design, product, and AI/ML teams to ship features that improve investigation speed, streamline operations, and elevate customer outcomes.

1. KEY RESPONSIBILITIES

2.1 Development

• Own end-to-end delivery of user-facing features across investigative, assistive, and summarization surfaces - from proof-of-concept to launch and iteration.
• Design interactive dashboards, timelines, and graph/entity views that handle high-volume, streaming data with intuitive drill-downs and filtering.
• Build resilient real-time UX (e.g., WebSocket/SSE) and a scalable state architecture for conversations, incidents, and tickets, with reliable cross-view synchronization.
• Define clear API/data contracts, contribute to backend endpoints as needed, and integrate enterprise systems (ticketing, knowledge bases, telemetry/observability, workflow tools).
• Implement trustworthy AI UX: streaming responses with citations, guardrails/redaction, and human-in-the-loop review; capture feedback to improve prompts and behaviors.
• Instrument and improve outcomes - latency, error rates, summary accuracy, and user satisfaction - to reduce time-to-response and time-to-resolution.

2.2 Collaboration

• Work closely with backend, AI, product and design teams to translate complex requirements into elegant UIs
• Mentor engineers, lead design reviews, and evolve coding standards and best practices
• Communicate tradeoffs and architecture decisions clearly to technical and non-technical stakeholders

1. REQUIRED QUALIFICATIONS

3.1 Experience

• 5+ years of professional frontend development experience (full-stack a plus)
• Track record of shipping complex, data-intensive web applications at scale
• Experience operating in high-availability, security-sensitive or support-critical environments
• Demonstrated ownership from architecture through delivery

3.2 Technical Skills

Core Skills (Must Have)

• Expert proficiency with modern JavaScript/TypeScript and a component-based web framework (e.g., React)
• Experience with server-rendered web apps and routing
• Strong grasp of state management patterns (e.g., state containers, signals, or equivalent)
• Proficiency with async data fetching and caching for server state (e.g., query/fetch layers)
• Advanced CSS skills (responsive layouts, design systems, accessibility)
• Experience with real-time transports (e.g., WebSocket, Server-Sent Events) and streaming UX
• Git-based workflows and CI/CD; feature flagging and progressive delivery
• Comfort with charting/graph visualization libraries and building interactive, drill-down dashboards
• Understanding of UX for dense, high-stakes, data-heavy applications
• Experience working within and evolving component libraries/design systems

Communication & Soft Skills (Very Important!)

• Excellent written and verbal communication
• Strong problem-solving skills and attention to detail
• Self-directed, collaborative, and comfortable with ambiguity in fast-moving contexts
• Experience working with distributed teams

Backend & Platform (Nice to Have for Full-Stack)

• Experience designing APIs (REST/Websocket) and integrating with event streams
• Comfort with at least one server runtime/language (e.g. Python, Golang) and data storage paradigm (e.g Postgres, Neo4j)
• Understanding of authentication/authorization patterns and session management

1. PREFERRED QUALIFICATIONS (BONUS POINTS)

AI/ML Product Experience

• Built user experiences for generative AI features (assistive workflows, agent-style tool use, or similar)
• Understanding of LLM streaming patterns, tool orchestration, and structured outputs (citations, functions)
• Familiarity with retrieval-augmented generation, prompt strategies, evaluation, and guardrail techniques
• Experience visualizing reasoning traces, tool execution, and confidence signals for user trust

Additional Technical Skills

• Real-time collaboration (presence, concurrency control, CRDTs/OT)
• Graph and time-series data modeling/visualization
• Event-driven systems, message queues, background job orchestration
• Markdown/rich-text rendering and extensible editor frameworks
• Monorepo and micro-service architecture experience

Domain Knowledge (Cybersecurity & Operations)

• Familiarity with security operations workflows and investigation lifecycles
• Understanding of incident management, alert triage, and escalation processes
• Awareness of observability and root-cause analysis in distributed systems

WHAT WE OFFER

• A chance to shape the future of AI-assisted cybersecurity and operations at scale
• Ownership of significant product surfaces used daily by enterprise customers and internal teams
• A collaborative environment with experienced engineers, researchers, and designers
• Continuous learning in AI/ML, security, and modern web technologies
• Flexible work arrangements and a competitive compensation package

The US base salary range for this full-time position is $160,000-$200,000. 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.

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.

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We’re a cybersecurity company building a next-generation generative AI platform used across multiple product surfaces - from analyst workflows to internal operations tools. We’re looking for a Senior Frontend Engineer with a strong frontend focus to design, build, and scale intuitive, high-performance experiences for data-heavy, real-time use cases. You’ll work across the stack (with emphasis on the web frontend) to turn advanced AI capabilities - reasoning, retrieval, and automation - into trustworthy, efficient user experiences. You’ll collaborate closely with design, product, and AI/ML teams to ship features that improve investigation speed, streamline operations, and elevate customer outcomes.