Top Cybersecurity Jobs in Israel

Lead advanced penetration tests targeting web applications and APIs, develop security tools, and author technical reports on vulnerabilities.

Outbound-focused SDR embedded in the sales process for a cloud security CNAPP. Researches and engages prospects, runs technical discovery, qualifies pipeline, supports AEs through early scoping, and applies qualification frameworks to progress enterprise opportunities.

Cynet is dedicated to simplifying security for organizations with an AI-driven platform for threat detection and response, providing support from security experts.

As a CyOps Analyst, you will investigate security alerts, conduct threat analysis, respond to incidents, and enhance threat hunting tools.

Design end-to-end user experiences for Sweet Security's cloud and AI security platform. Lead discovery, research, prototyping, and validation; create wireframes, flows, and high-fidelity designs in Figma; collaborate with PMs, engineers, and customers; conduct usability testing; evolve the design system; and balance user needs with technical and business constraints.

The Senior AI Engineer will develop full stack software components, lead design and code reviews, and improve system efficiency and stability.

Design, build, and operate scalable ML pipelines and infrastructure for training, fine-tuning, evaluating, deploying, and monitoring NLP and LLM models. Implement LLM-focused CI/CD, optimize runtime inference for low-latency/high-throughput, manage training environments and model registries, and ensure production performance, cost efficiency, and observability.

Serve as primary liaison for Defence clients, build trusted stakeholder relationships, manage high-value contracts, ensure compliance with defence regulations and security requirements, lead governance and status meetings, and align commercial and operational delivery with long-term account strategy.

Technical lead for a 6-engineer team building and operating complex, large-scale LLM-powered security platform components. Own architecture, design docs, delivery, on-call operations, and mentor engineers while turning ambiguous AI/agent problems into shippable solutions.

Manage and optimize the marketing tech stack and lead lifecycle, build reporting and dashboards, ensure data quality and governance, streamline campaign operations and automation, partner with demand gen and sales on ABM and campaigns, drive conversion optimization, and support budget tracking and ROI measurement.

Design, deploy, and operate AWS-based infrastructure using Kubernetes and Helm; automate workflows and CI/CD pipelines; manage edge security (WAFs, gateways, load balancers); improve reliability through monitoring, incident detection, troubleshooting, and automated recovery; build tooling and infrastructure-as-code with Terraform.

Design, build, and maintain scalable data warehouse infrastructure and pipelines. Enable analytics and product teams via data modeling, BI dashboards, data governance, and quality monitoring.

Lead product vision and execution for Noma's AI Security platform. Own end-to-end product strategy, prioritize roadmap, write PRDs, collaborate with engineering/design/data/security/GTM, drive customer-facing evaluations/POCs, and deliver features for data protection, AI governance, observability, and secure AI operations.

Build and operate scalable backend services for an AI security and governance platform. Collaborate across product, research, and platform teams, integrate with AI/LLM platforms and cloud providers, own architecture decisions, implement testing and observability, and troubleshoot production issues to improve reliability and resilience.

Serve as the primary technical liaison for customers, provide hands-on integration and configuration guidance, troubleshoot issues, lead technical deep-dives, collaborate with Product and Engineering on feedback, and manage stakeholder relationships to ensure long-term satisfaction and security outcomes.

Design and lead enterprise AI security solutions: conduct technical discovery, architect cloud/hybrid deployments, integrate across AI/LLM systems and data pipelines, support pre/post-sale, advise CISOs, and influence product roadmap.

Design, build, and productionize LLM- and ML-based solutions to detect and mitigate AI security risks. Own end-to-end model lifecycle, integrate models into production data pipelines, collaborate with Product and Engineering, and lead research POCs to deliver pragmatic, explainable, enterprise-ready AI security features.

Lead product strategy and roadmap for an AI security and governance platform. Translate customer needs into product requirements, drive frontend and architectural decisions, collaborate with engineering, design, data, security and GTM teams, run POCs and customer evaluations, and deliver capabilities for data protection, governance, observability, and secure AI operations.

Lead frontend engineering efforts for an AI security platform: own UI components, influence architecture and best practices, drive cross-functional projects, and build responsive, accessible, high-performance interfaces.

Build and lead Tier 2-3 technical support for an AI security platform. Troubleshoot complex issues across cloud environments, APIs, integrations, and distributed systems. Serve as primary escalation for advanced incidents, perform root cause analysis, work with engineering and security teams, assist with deployments, and create knowledge bases and support processes.

As a Product Manager, you will own product domains, engage with customers, define features, and collaborate with teams to deliver impactful solutions in a fast-paced environment.

Develop and design Windows low-level protection modules and critical components for an XDR platform. Implement and test kernel drivers and user-mode OS infrastructures in C++, collaborate with Research and Product teams, mentor core developers, and produce design documents and development best practices.

Lead day-to-day office operations, vendor management, and office logistics while owning employee welfare, onboarding/offboarding, HRIS accuracy, and employee engagement programs. Plan and execute events, manage internal communications and employer brand/social content, and continuously improve people processes to strengthen culture and support growth.

The Automation Infrastructure Engineer will design automation infrastructure, manage tests across multiple OS, and improve quality processes.

This position is for submitting resumes for future opportunities at Akeyless without a specific role currently available.