Director of Engineering

Director of Engineering

Position Overview
Kaleidoo.ai, one of Israel’s leading AI startups, is growing fast and is looking for a visionary, hands-on engineering leader to support its expansion. The company builds breakthrough AI solutions in collaboration with global technology leaders. The core platform is a highly scalable, microservices-based architecture that powers next-generation AI and enterprise solutions. Due to the platform’s complexity, this role is critical in bridging long-term technical strategy with day-to-day execution.

The Director of Engineering will serve as the operational leader of the entire R&D organization. Reporting directly to the CTO, the role is responsible for translating technical strategy into efficient execution, ensuring timely and high-quality delivery across a complex distributed system, and managing the engineering leadership team.

Key Responsibilities

Strategic Partnership – Work closely with the CTO to shape the long-term technological vision, influence architectural decisions for on-prem, cloud, and hybrid environments, and build a world-class engineering

דרישות:

Required Qualifications

Leadership & Management
- Minimum 5 years of engineering leadership experience, including at least 3 years in a Director or Engineering Manager role.
- Proven experience leading R&D leadership teams and managing organizations of dozens of engineers across Backend, Frontend, DevOps, and QA.

Technical Expertise
- Proven responsibility for designing, managing, and scaling highly available, microservices-based distributed systems.
- Solid familiarity with the AI/ML domain; hands-on experience with LLMs and RAG architectures is an advantage.
- Proven experience with large-scale Big Data architectures and data pipelines.

Core Technology Stack
- Programming: Hands-on experience with Python (production coding not required).
- Cloud & Orchestration: Strong practical experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
- Databases: Experience with SQL databases, MongoDB, and Redis.
- Messaging Systems: Experience with Pub/Sub systems such as Kafka or RabbitMQ.
- Workflow Orchestration: Experience with tools such as Airflow or Te