At Lusha, we're building for Builders, we build fast & AI-first --- so we look for Builders!

By a builder, we mean someone who turns “maybe” into “done”.

We’re looking for a Senior Security Platform Engineer to join our team and work at the intersection of Security technology, and business. This role is about impact — not just ownership, not just execution, but building solutions that actually get used.

This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.

This might be for you if:

• Support, maintain, and operate network, data, and AI security controls across Lusha production environments, and continuously improve protection, detection, and response capabilities.
• Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
• Secure sensitive data and databases by enforcing encryption, permissions, and access governance, auditing, and monitoring to prevent data leakage and misuse.
• Identify security risks related to AI systems, data pipelines, and inference services, and help define controls to protect models, training data, and AI-driven workflows.
• Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, and translate them into actionable security controls and detections.
• Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
• Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing

What we look for:

• Hands-on experience in security engineering or infrastructure security roles.
• Experience with AI automation platforms and security-related workflows.
• Strong understanding of network protocols, architectures, and common network-based attack techniques.
• Experience securing databases and sensitive data, including encryption, access governance, and auditing.
• Practical knowledge of AI/ML systems and modern AI usage patterns, including risks related to training data, inference APIs, and model access.
• Understanding of emerging AI security threats, including prompt injection, data leakage, model abuse, and supply-chain risks.
• Experience working in cloud environments (AWS, Azure, or GCP) and cloud-native security controls.
• Experience participating in or leading security incident response and investigations.
• Proven ability to take ownership, lead security processes end-to-end, and drive initiatives across multiple teams.
• Strong analytical skills, proactive mindset, and ability to work effectively with cross-functional teams.