Top Cybersecurity Jobs in Israel

Build and ship reliable AI features and agents for multi-cloud security, including policy recommendations, drift explanations, guided remediation, investigations, and workflow automation. Integrate AWS, Azure, GCP, and OCI security controls, develop evaluation and feedback systems, measure production performance, and collaborate with Product, Engineering, Security, and customers to deliver secure, practical AI capabilities.

Develop expertise in Upwind’s cloud security products, partner with sales to tailor technical solutions, provide technical guidance throughout the sales cycle, lead proof-of-concept engagements, deliver product demonstrations, and relay customer feedback to product development. The role requires cloud security knowledge, strong communication and presentation skills, and experience with AWS, Azure, or Google Cloud. Terraform, Kubernetes, and container experience is preferred.

Own the strategy and roadmap for Guardio’s core security systems, improving threat detection, protection, scalability, and analyst efficiency. Lead engineers and security analysts through technical discovery, specifications, testing, launch, and iteration. Build internal investigation and detection tools, define performance and detection-quality KPIs, and collaborate with product teams to integrate shared security capabilities.

Own Zafran’s commercial ServiceNow application end to end, including architecture, backend development, integrations, workflows, certification, releases, upgrades, automated testing, and customer escalations. Build integrations for vulnerability and security exposure workflows, maintain CMDB and CSDM alignment, manage versioning and backward compatibility, and support deployments in unpredictable customer environments. The role also includes transitioning ownership from an external partner and contributing to technical pre-sales.

Conduct end-to-end security research into how vendors expose customers to attack. Discover and validate attack paths using real data, evaluate security tools and data sources, shape AI risk-agent logic, build research tools, and partner with engineering to turn findings into product capabilities, detections, or published research.

Embeds security throughout the software development lifecycle by performing application, API, mobile, cloud, and software supply-chain security assessments. Conducts threat modeling, architecture reviews, secure code reviews, and vulnerability validation; partners with developers on remediation; improves CI/CD security controls and secure coding standards; and prioritizes application risk based on exploitability, asset criticality, and business impact.

Lead end-to-end incident response for high-severity security events across cloud environments, perform DFIR investigations, build detection and automation (including AI-assisted) workflows, partner cross-functionally, produce executive communications and RCAs, maintain runbooks/playbooks, and mentor other engineers within a 24/7 global on-call model.

Lead offensive security research across Salesforce cloud infrastructure, applications, and services. Conduct penetration testing and red team operations, discover and exploit complex vulnerabilities, build custom tools and attack techniques, and partner with product teams on remediation and secure design. Mentor security professionals and present findings to technical and executive audiences. The role also involves researching cloud and container security, contributing to CVEs and security tooling, and advancing offensive security practices.

Own strategic customer relationships from onboarding through renewal, driving adoption, measurable business value, retention, and expansion. Responsibilities include success planning, renewal forecasting, executive alignment, QBRs, stakeholder management, and collaboration with Sales, Technical Account Managers, Solutions Architects, and Product teams. The role connects cloud security capabilities to customer outcomes, security objectives, and ROI.

Manage strategic technology partnerships across cybersecurity, cloud, AI, and enterprise ecosystems. Identify joint customer use cases, define integration requirements, build business cases, and drive partner integrations from concept through launch and adoption. Coordinate product, engineering, sales, marketing, customer success, legal, and external partner teams while tracking milestones, risks, KPIs, customer usage, and commercial impact.

Provide day-to-day employee IT support, manage onboarding and offboarding, administer identity, endpoint, and SaaS systems, and maintain office infrastructure. Troubleshoot hardware, software, access, networking, conference room, and workstation issues. Improve IT operations through process optimization, scripting, automation, and AI. The role requires strong macOS and Google Workspace expertise, experience with identity providers and MDM platforms, networking fundamentals, independent problem-solving, and clear communication.

Build and maintain Ruby on Rails backend features for vulnerability management, including security dashboards, reports, and ingestion pipelines. Improve system performance, reliability, and scalability; collaborate across backend, frontend, product, design, and security teams; review code; address technical debt; and participate in on-call rotations. The role requires relational database experience, distributed-team collaboration, technical problem-solving, and contributions across the stack when needed.

Lead security research from hypothesis through production, developing LLM- and program-analysis-based methods for vulnerability detection, triage, and remediation. Build proofs of concept, datasets, benchmarks, and evaluation pipelines; validate quality against real-world code; and partner with engineering to ship capabilities. Research vulnerabilities across cloud, containers, microservices, APIs, AI-generated code, and LLM applications. Set the research agenda, maintain the vulnerability corpus, publish findings, and communicate technical impact to diverse audiences.

Leads Cynet’s Product, Engineering, and Counter Adversary Operations organizations, owning company-wide technology and product strategy, AI adoption, product quality, release predictability, cybersecurity platform integration, and customer outcomes. Serves as Managing Director of the Tel Aviv office, overseeing site stability, culture, talent attraction, employee experience, and cross-team leadership. Partners with executive leadership to align technology and product strategy with commercial goals.

Build and own backend features for AI security products using Node.js and TypeScript. Responsibilities include architecture, implementation, production delivery, distributed systems design, customer collaboration, cross-functional projects, and technical leadership through reviews and design discussions.

Serve as the primary technical pre-sales resource for EMEA, leading discovery, product demonstrations, technical discussions, RFx responses, and end-to-end proof-of-concept engagements. Configure customer environments, build authorization policies, develop executive ROI presentations, and guide integrations with identity, API, and data platforms. Partner with sales, product, services, and marketing teams while supporting customers and partners across Europe and the broader EMEA region through frequent international travel.

Own monitoring, evaluation, and continuous improvement of the Support bot. Define KPIs, review bot responses for quality gaps, analyze technical and business impact, collaborate with Support teams, identify trends and actionable improvements, and support the bot's evolution within Support workflows.

Design and architect security engines, secure boot flows, and RISC-V processor IP for NVIDIA products. Develop and document architectures and specifications, collaborate with ASIC design, RTL, verification, firmware, and software teams, and ensure designs meet stringent security standards. The role requires deep ASIC architecture experience in cryptographic engines and root-of-trust technologies, along with strong system-level understanding and cross-functional collaboration skills.

Build and own scalable, production-grade frontend experiences for Clover’s SaaS product. Responsibilities include designing and implementing features end to end, driving frontend architecture, improving component patterns and performance, collaborating with Product, Design, and Backend, and raising standards for accessibility, consistency, testing, quality, and delivery velocity.

Analyze AI agents and product features to identify performance patterns, edge cases, and improvement opportunities. Define AI performance metrics, build scalable analysis tools and pipelines, and translate findings into prioritized product direction. Partner with product, engineering, customers, and field teams to improve customer value and growth. The role also evaluates AI and ML product quality, supports cross-functional decisions, and may mentor analysts or establish analytical standards.

Build and own scalable backend systems, APIs, data pipelines, and AI-driven services for Clover’s security platform. Responsibilities include end-to-end feature delivery, architecture design, testing, deployment, monitoring, observability, reliability improvements, performance tuning, and cost optimization. Collaborate with Product, Frontend, and AI/ML teams to deliver secure, high-quality SaaS features in an ambiguous, fast-moving environment.

Conduct deep application and product security research across codebases, architectures, integrations, data flows, permissions, and AI agentic workflows. Identify risks missed by traditional scanners, investigate AI-assisted development security issues, maintain threat-pattern and detection logic, and translate findings into product capabilities, customer guidance, technical writing, evaluations, talks, and go-to-market insights.

Own strategic post-sales relationships with enterprise customers, advising on AI security and governance programs. Lead discovery, define measurable outcomes, drive platform adoption, support retention and expansion, and coordinate Product, Engineering, Security, Support, and operationalization teams. Translate CISO-level strategy, GRC requirements, business objectives, and technical needs into practical solutions for securing AI applications, LLMs, RAG systems, agents, and development pipelines.

Own a core Data Security Posture Management product area from strategy and roadmap through engineering delivery, launch, adoption, and customer impact. Partner closely with engineering, customers, and field teams to prioritize capabilities across sensitive-data discovery, scanning, risk assessment, and remediation. Evaluate tradeoffs involving coverage, accuracy, speed, and cost while driving predictable releases. The role requires cybersecurity product expertise or comparable technical depth from sales engineering or solutions architecture, plus strong communication and AI fluency.

Designs, implements, and maintains scalable, highly available database and data-processing infrastructure for transactional, real-time, analytics, and big-data workloads. Builds CI/CD automation for infrastructure changes, migrations, and upgrades; collaborates with developers and security teams; applies security, compliance, disaster recovery, monitoring, and high-availability best practices across self-hosted and cloud environments.