Location: Tel Aviv
DriveNets is a leader in high-scale disaggregated networking solutions, modernizing how service providers, cloud providers, and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic runs on DriveNets’ Network Cloud architecture.
DriveNets is launching a new and exciting Cybersecurity business unit, focused on delivering advanced cyber solutions for Tier-1 Service Providers, leveraging DriveNets’ scale, performance, and cloud-native foundations.
The Role
We are looking for a Full-Stack Tech Lead to play a key role in building this new Cybersecurity unit from the ground up.
This is a highly impactful role for an engineer who can lead end-to-end development, own architecture, and turn advanced ideas into production-ready systems. The role combines hands-on full-stack development, technical leadership, and deep integration of LLM-based AI capabilities into cyber products.
Responsibilities
· Lead design and development of full-stack cyber security products, from frontend to backend.
· Own system architecture with focus on scale, performance, security, and reliability.
· Design and implement AI-powered capabilities using LLMs.
· Drive technical decisions and engineering best practices.
· Mentor and guide engineers through design and code reviews.
· Work closely with product and business stakeholders in a fast-growing unit.
Must
BSc in Computer Science or related degree, or equivalent experience.
· 6+ years of experience as a Software Engineer.
· Proven experience as a technical leader / tech lead.
· Strong backend development experience (e.g., Python, Node.js, Java).
· Strong frontend development experience (e.g., React or similar).
· Experience designing APIs and distributed systems.
· Strong system design and problem-solving skills.
· Fast self-learner with strong ownership mindset.
AI & LLM Experience
· Deep understanding of LLMs, their behavior, limitations, and how to incorporate them into production systems.
· Experience with context engineering, prompt engineering, and retrieval-based workflows (e.g., RAG).
· Ability to design AI integration workflows and incorporate LLMs into larger application logic.
Advantage
· Experience with cloud-native architectures and CI/CD.
· Experience with databases and data pipelines.
· Experience working on high-scale, performance-critical systems.
· Experience developing high-scale security solutions.
· Experience with AI evaluation, guardrails, or cost optimization.
DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers.
Founded by Ido Susan and Hillel Kobrinsky, two successful telco entrepreneurs, DriveNets Network Cloud is the leading open disaggregated networking solution based on cloud-native software running over standard white boxes.
Over three funding rounds, DriveNets raised $587 million. Its solutions are used by tens of service providers globally and are in proof-of-concept and lab trials at dozens of operators and hyperscalers, consistently ranking #1 in trials for breadth of capabilities and solution quality. AT&T, the largest backbone in the US, deployed DriveNets Network Cloud across its core network, and DriveNets is currently transporting more than 52% of AT&T’s core network traffic. DriveNets is engaged with over 100 Tier-1 operators and cloud-providers on large projects in North America, Asia and Europe.
