AI Transformation Manager

A high-potential Cyber-Fintech startup transforming fraud prevention and digital transaction security. The company develops an advanced, AI-powered Anti-Fraud platform engineered for Tier-1 banks, payment processors, and global enterprises.

By analyzing behavioral biometrics, user psychology, and real-time risk profiles, the platform enables proactive intervention to neutralize sophisticated fraud attempts before damage occurs.

Backed by substantial multi-million dollar funding from top-tier venture capital funds alongside prestigious global cyber industry awards, the company operates with a core team of dozens of professionals in Israel.

Located in central Tel Aviv (walking distance from the train station), operating on a hybrid work model.

Role Description-

• Joining as a Senior Backend Engineer in the founding core R&D group, taking End-to-End ownership over real-time fraud detection and event-processing infrastructures.
• Architecting and building high-throughput, low-latency microservices and event-driven data pipelines using Node.js, TypeScript, PostgreSQL, Prisma, and Redis.
• Collaborating closely with AI and Data Science teams to operationalize and deploy cutting-edge ML models into high-scale production environments.
• Designing and maintaining resilient Event-Driven architectures utilizing technologies such as NATS, RabbitMQ, and Socket.io.
• Deploying, orchestrating, and optimizing distributed cloud services running on GCP, Docker, and Kubernetes.

Requirements-

• 6+ years of hands-on software development experience focused on Backend Engineering – Mandatory
• Deep, production-grade proficiency in Node.js and TypeScript – Mandatory
• Solid experience designing and building scalable systems on modern Cloud platforms (GCP / AWS) – Mandatory
• Practical experience architecting and working with Single-Tenant / Multi-Instance deployment models – Mandatory
• Strong experience with Event-Driven architectures and message brokers (NATS, RabbitMQ, Kafka, or Socket.io) – Mandatory
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and relational/caching databases (PostgreSQL, Redis) – Mandatory