Description

Check Point Harmony SASE (Secure Access Service Edge), originally Perimeter 81, was acquired by Check Point and has since become one of the company’s most strategic growth platforms.

SASE enables secure, fast, and resilient connectivity for users, branches, and devices from anywhere.

As enterprises accelerate cloud adoption and hybrid work, Harmony SASE is redefining how organizations securely connect to applications and resources - combining high performance networking with advanced security enforcement, delivered at global scale.

We are looking for a hands-on Team Leader with strong development skills and networking expertise to lead one of the core development teams building the next generation of our SASE network.

The team is responsible for designing and developing the new and enhanced SASE networking layer - a highly scalable, auto-scaling, resilient, and high-performance distributed system that provides secure connectivity worldwide for organizations.

This role requires technical ownership while driving team execution.

You will mentor engineers, drive innovation, and accelerate AI adoption across the SDLC and product capabilities.

Major Responsibilities

• Lead and mentor a team of developers, fostering ownership, accountability, and growth.
• Drive end-to-end development of complex networking features (design to production).
• Contribute to architectural decisions to ensure scalability, performance, and reliability.
• Promote engineering excellence: code quality, observability, and production readiness.
• Drive adoption of AI capabilities across SDLC, processes, and product.
• Collaborate closely with Product, Support, and cross-functional R&D teams.

Desired Background

• 5+years of development experience in C/C++/Go/Java/Python/Other is a must.
• 2+years of experience leading development teams and driving execution.
• Good background in networking (TCP/IP, TLS, VPN, routing, tunnelling, etc.).
• Strong problem-solving skills and ability to deep-dive into complex issues.
• Excellent communication and stakeholder management skills.
• Experience designing and delivering distributed systems in production.
• Experience with Go (Golang) is an advantage.
• Experience with AI/ML or AI-driven features is an advantage.
• Familiarity with modern AI tools and frameworks.
• Experience with technologies in the Cloud and Kubernetes is a must.