Software Engineering Team Lead

The advanced R&D division of Israel’s premier and most influential mass media and digital broadcasting conglomerate.

The group commands a dominant market presence, managing an extensive ecosystem of over 25 high-traffic digital brands, streaming platforms, and content properties nationwide.

The engineering division builds the core cross-organizational platforms, data pipelines, and internal enterprise architectures that power the entire group’s daily operations, asset management, and content delivery.

Located in Tel Aviv, the company offers a vibrant hybrid workspace with two days of remote work per week.

Position Overview

• Full Stack Engineering Team Lead taking direct delivery, technical, and personnel ownership over an organic development squad of 3–4 engineers.

• Maintaining a high-impact 70% Hands-On presence, spearheading end-to-end (E2E) feature design, complex architecture definitions, and writing production-grade code.

• Guiding the technical evolution of vital internal enterprise ecosystems using a modern Microsoft and Web stack.

• Championing robust dev practices, optimizing continuous deployment workflows, and providing high-level technical mentorship to team members.

• Core Stack & Infrastructure - .NET Core / .NET Framework, C#, Angular, ASP.NET, MS SQL Server, Cloud Environments, CI/CD, and Docker/Kubernetes.

Requirements-

• 2 years of proven professional experience in direct engineering management / tech team leadership – Mandatory

• 4 years of hands-on software development experience building scalable full-stack or backend web applications using C#, .NET Framework / .NET Core, and Angular – Mandatory

• Robust, practical database design and optimization pedigree utilizing MS SQL Server – Mandatory

• Hands-on technical experience constructing, configuring, or maintaining CI/CD pipelines – Mandatory

• Proven experience designing and running applications over modern Cloud environments – Mandatory

• Practical containerization and orchestration experience deploying workloads with Docker or Kubernetes – Significant Advantage