Director of Engineering

Position Overview
Kaleidoo.ai, one of Israel’s leading AI startups, is growing fast and we’re looking for a visionary, hands-on team leader – front-end to help drive our expansion. We’re building breakthrough AI solutions in collaboration with some of the world’s top tech leaders. Our product is already making waves in Israel and internationally and now it’s time to scale.
Our core platform is a highly scalable, microservices-based architecture that powers our next-generation AI and enterprise solutions. This complexity makes the role crucial for bridging the strategic vision with the day-to-day operations.
We are seeking an experienced and visionary Director of Engineering to serve as the operational leader for our entire R&D department. Reporting directly to the CTO, you will be responsible for translating the technical strategy into efficient execution, ensuring timely, high-quality delivery across our complex, distributed system, and managing our talented team of Leads.

Key Responsibilities
- Strategic Partnership: Work closely with the CTO to shape the long-term technological vision, influence architect

דרישות:

Leadership & Management
Senior Leadership Experience: Minimum 5 years of engineering leadership, including 3+ years in a Director/Engineering Manager capacity, with proven experience directly leading R&D leadership teams (Backend, Frontend, DevOps, and QA Leads) and managing organizations of dozens of engineers.

Technical Expertise
- System Architecture & Scale: Demonstrated accountability for managing, designing, and scaling highly available, microservices-based distributed systems.
- AI/ML Domain: Solid familiarity with the AI/ML domain 
Advantage: Hands-on experience with LLMs and RAG (Retrieval-Augmented Generation) architectures
- Big Data & Pipelines: Proven experience building and optimizing large-scale Big Data architectures and data pipelines
Core Technology Stack:
- Programming: Hands-on experience with Python (not required to write production code)
- Cloud & Orchestration: Deep practical expertise with Kubernetes, Docker, and cloud platforms (AWS/GCP/AZURE)
- Databases: Solid technical proficiency with diverse database technologies, including SQL DB, MongoDB and Redis
- Mes