Platform Director

We're seeking a Sr. Director, Platform to lead our software platform group - a team of ~45 engineers distributed across Israel, India, Ukraine, and the UK. This is a hands-on leadership role combining people management with technical direction, driving a cloud-native Kubernetes-based platform that powers RAN deployments globally.

Responsibilities

Lead and develop a multi-regional engineering organization (~45 engineers) across 5 teams and 4 countries and multiple time zones; Drive technical strategy for the cell-site software platform, built on Kubernetes (EKSA/SUSE) in cloud-native architecture; Champion cross-team collaboration within the broader R&D organization; Spearhead adoption of AI-assisted development tools and workflows to accelerate engineering productivity; Improve system debuggability and observability across complex, distributed deployments; Lead modernization efforts for legacy codebases while maintaining production stability; Define and formalize team-level KPIs aligned with SAFe practices; Enhance CI/CD pipelines and automation to improve delivery velocity and quality; Balance real-time constraints, resource management, and networking requirements inherent to RAN software

Requirements

BSc/MSc in Computer Science, Electrical Engineering, or related field; 3+ years of experience managing multi-regional engineering teams; Strong technical background in Kubernetes and cloud-native development; Proficiency in C/C++; familiarity with Python and Bash; Understanding of real-time systems, networking, and resource management concepts; Experience working in Agile environments (SAFe experience a plus); Excellent communication skills and ability to collaborate across cultures and time zones; Telecom or wireless industry experience—or experience in adjacent fields such as communications systems or real-time constrained products

Nice to have

Familiarity with O-RAN Alliance specifications or 3GPP standards; Experience with observability and debugging tools for distributed systems (tracing, logging, metrics); Track record of successfully modernizing or refactoring legacy codebases at scale; Hands-on experience implementing AI/ML tools in engineering workflows (code assistants, test generation, etc.); Experience scaling CI/CD infrastructure and developer tooling