Charm Security- Senior Full Stack Software Engineer at Team8

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Node.js, TypeScript, React, Express.js, Prisma, PostgreSQL, Redis, NATS, Socket.io, WebSockets, LangChain, LangGraph, Docker, OpenTelemetry, Prometheus, CI/CD

Industry

Venture Capital and Private Equity Principals

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 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

Responsibilities

The engineer will build and own end-to-end features across the product suite, including React frontends and Node.js backend services, closely collaborating with AI engineers and designers. Responsibilities involve designing APIs, implementing event-driven systems using NATS, integrating AI capabilities, and developing real-time fraud detection workflows.