Senior Full-Stack Engineer

We’re a cybersecurity company building a next-generation AI-driven operations platform, designed to power complex, high-stakes workflows. The product integrates generative AI deeply into real-time operational environments—combining reasoning, retrieval, and automation into scalable, trustworthy systems.
We’re looking for a Senior Full-Stack Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems—while also bringing solid frontend skills to deliver intuitive user-facing features. You’ll work closely with product, AI/ML, and design teams to deliver capabilities that drive investigation speed, streamline operations, and unlock new modes of human-AI collaboration.
End-to-end ownership of complex system features: from backend services and API design to user-facing interactions.
Architect and implement scalable backend systems for high-volume, real-time operational workloads.
Integrate LLMs and GenAI components into production workflows, including fine-tuning, prompt orchestration, retrieval pipelines, and evaluation loops.
Design and implement robust data flows (e.g., event streams, message queues, job orchestration) to support next-gen SOC/NOC capabilities.
Build resilient real-time user experiences (e.g., dashboards, streaming data visualization, multi-user collaboration).
Define clear contracts between AI services, backend APIs, and frontend clients.
Contribute to trustworthy AI delivery: streaming responses with structured outputs, redaction/guardrails, and human-in-the-loop review.
Partner with AI/ML engineers to productionize models, optimize inference pipelines, and collect feedback signals for iterative improvement.
Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive UIs.
Lead technical reviews, and help shape coding standards and architectural patterns.
Communicate clearly with both technical and non-technical stakeholders about trade-offs, performance, and reliability.
Proven track record shipping data-intensive and AI-enhanced applications at scale.
BS: 7+ years in backend or full-stack systems for high-availability, security-sensitive environments OR
PhD: 3+ year in the same
Core Backend & Platform (Must Have)
Proficiency with at least one modern backend runtime/language (e.g., Python, Go) and associated frameworks.
Deep understanding of databases and storage paradigms (e.g., AI/ML Integration (Strongly Desired)
Hands-on experience building or integrating AI systems in production.
Exposure to model fine-tuning workflows or orchestration frameworks for multi-tool AI agents.
Frontend (Nice-to-Have)
Solid proficiency with modern JavaScript/TypeScript and a component-based framework (React or equivalent).
Experience building data-heavy dashboards and visualization for real-time operations.
Understanding of streaming UX patterns (WebSocket/SSE) and responsive design systems.
PREFERRED QUALIFICATIONS (BONUS POINTS)
Exposure to graph/time-series data modeling and visualization.
Familiarity with SOC/NOC operations workflows, incident management, and observability pipelines.
Contributions to open-source AI/ML tools or backend frameworks.
Opportunity to shape the future of AI-assisted cybersecurity and operations at scale.
End-to-end ownership of high-impact product surfaces used daily by enterprise customers.
Continuous learning in AI/ML, distributed systems, and modern web technologies.
Flexible work arrangements and competitive compensation.
The US base salary range for this full-time position is $179,500-$219,000. 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.
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.