Charm Security-Senior Full Stack Software Engineer

About the role

Description
Senior Full Stack Software Engineer
Charm Security is building AI-powered defense systems that protect people from scams and social engineering attacks targeting financial institutions. Our platform combines real-time conversation analysis, behavioral science, and AI agents to break the scam spell before harm occurs.
Backed by Team8, we're deploying our technology with banks and financial services companies to protect their customers at the moment of risk. Our product suite includes a Prevention Agent for real-time customer protection, a Copilot for fraud analysts, and a Customer-Facing Agent for self-service fraud reporting.
This role spans our entire product stack. From React frontends through Node.js services to event-driven backends and the AI systems that power our fraud prevention.
Your Role
You'll build end-to-end features across Charm's product suite, working closely with AI engineers, designers, and customers to deliver polished experiences that protect millions of banking customers. You will:
Build and own features across our React frontends (analyst Copilot, management portal, real-time conversation widget) and Node.js/Express backend services
Design and implement APIs, background workers, and data models using Express.js, Prisma, and PostgreSQL
Build event-driven systems using NATS to process fraud signals and coordinate between services
Develop real-time features using Socket.io and WebSockets for live fraud detection workflows
Integrate AI capabilities into production systems, working with our LangChain/LangGraph-powered agents
Design database schemas, optimize queries, and manage data pipelines across PostgreSQL and Redis
Build observability into your services using Pino, OpenTelemetry, and Prometheus
Collaborate with product, design, AI engineers, and customers to ship high-impact features
Contribute to engineering practices across the stack as we scale

Requirements
5+ years of full stack development experience with strong backend depth in Node.js/TypeScript
Experience designing and building event-driven architectures (message queues, pub/sub patterns, async workers)
Strong proficiency with PostgreSQL, Redis, and data modeling
Experience building and scaling RESTful APIs with Express.js or similar frameworks
Solid understanding of real-time systems (WebSockets, Socket.io, streaming)
Proficiency in React and TypeScript for frontend development
Experience with Docker, CI/CD pipelines, and cloud infrastructure (GCP preferred)
Understanding of distributed systems concepts (eventual consistency, idempotency, fault tolerance)
A builder's mindset. We're early stage and move fast
Nice to Have
Experience in financial services, fraud prevention, or cybersecurity
Familiarity with AI/LLM integration patterns and building AI-assisted products
Experience with NATS, RabbitMQ, Kafka, or Google Pub/Sub
Background in enterprise SaaS with multi-tenant architectures
Experience with Kubernetes and cloud-native observability stacks
Understanding of security and compliance requirements (SOC2, enterprise authentication)
Familiarity with Python/FastAPI services