Staff Engineer (Remote)

KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15\-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense. **Remote positions open to candidates located in the United States.** **Role Summary** We are seeking a Staff Engineer to join one of the engineering teams building KnowBe4's core Security Awareness Training product. This is a full\-stack role requiring depth across a Ruby on Rails backend, modern front\-end technologies (Vue 3, SvelteKit), and complex AWS infrastructure. As a Staff Engineer, you are a technical leader in day\-to\-day engineering. You drive direction through architectural ownership of the systems your team builds, high\-impact code contributions, and cross\-team influence. You'll work within a platform ecosystem of microservices deployed across our AWS regions, helping ensure we meet rigorous FedRAMP Moderate, SOC 2, and ISO 27001 standards. Our front\-end is actively evolving — we're rewriting our micro\-frontends (MFEs) to Vue 3 — so you'll both shape that migration and keep our current SvelteKit application healthy. You lead through your engineering, your judgment, and your ability to bring other engineers along with you. **What You'll Build** * **Full\-stack product features and subsystems:** Ruby on Rails APIs, GraphQL endpoints, and Vue 3 / SvelteKit \+ TypeScript front\-ends that ship real value to a global customer base * **The Vue 3 front\-end direction:** owning key parts of the micro\-frontend (MFE) rewrite onto Vue 3, setting patterns others build on, while keeping the existing SvelteKit application maintainable * **GraphQL APIs at scale:** schema design, batch loading, and query complexity management for high\-traffic, multi\-tenant access patterns * **Event\-driven services:** EventBridge/SQS\-based communication between microservices, with an emphasis on idempotency, reliability, and asynchronous processing at scale * **Serverless background processing:** evolving and optimizing our Lambda\-backed worker framework (400\+ workers) that powers the product's async workload * **Multi\-tenant data strategy:** architecting patterns across MySQL, PostgreSQL, DynamoDB, and Redis while maintaining strict tenant isolation and compliance guarantees * **Infrastructure\-as\-Code:** Terraform modules and GitLab CI/CD pipelines that provision and deploy services across multiple environments and regions * **Technical direction:** architecture reviews, Architecture Decision R