לוח משרות דרושים ניהול תוכנה עבודה היברידית

Lead the tech behind one of Israel’s fastest-growing companies. At Kendago , we’re not just running ads — we’re building a game-changing tech product that gives our marketing teams a serious edge. It’s a smart, insight-driven optimization platform that analyses tons of ads data and turns it into real-time recommendations and insights for publishers. This tech is one of the reasons we were ranked by Globes as one of the Top 50 fastest-growing companies in Israel in 2023. Now we’re looking for a passionate and proactive Team Leader to head the R&D team building this core product. You’ll be at the center of our most strategic tech and business initiatives, driving innovation and delivering high-impact solutions
Our Office is located in Kiryat Ono. This is a hybrid position, including two to three work-from-home days per week, with flexibility based on team and individual needs.

Responsibilities:

* Lead a full-stack team working on our proprietary optimization platform Architect and build high-scale, data-centric web systems
* Be a hands-on leader: code when needed, unblock, mentor, and push forward
* Collaborate with product managers who work hand-in-hand with our performance teams.
* Balance rapid delivery with long-term architecture and stability

Biz Dev:
R&D

Remote/Hybrid:
Hybrid

We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of our security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.
What You'll Do:
Lead and mentor a team of data engineers building high-performance data processing pipelines
Define technical strategy and architecture for complex data transformations using Apache Spark
Oversee development of real-time data streaming solutions using Kafka and scalable ETL processes
Drive cross-functional collaboration with product, security research, and engineering teams to deliver high-impact security features
Establish best practices for data modeling, query optimization, and storage patterns for large-scale distributed systems
Manage team performance, including hiring, career development, and performance reviews
Balance technical execution with strategic planning and resource allocation
Champion operational excellence through code reviews, system monitoring, and continuous improvement initiatives
The Technology Stack:
Languages: Go, Java, Python
Big Data: Apache Spark, Kafka, Apache Iceberg
Databases: Cassandra, Elasticsearch, Postgres, MongoDB
Cloud Platforms: AWS, GCP, Azure
Infrastructure: Docker, Kubernetes, Git.