Top Cybersecurity Jobs in Israel

Lead enterprise sales expansion across Europe for cybersecurity and industrial technology solutions. Responsibilities include targeting and closing high-value opportunities, exceeding quotas, engaging CISOs and CTOs, managing direct and channel sales, translating OT/ICS security concepts into business value, and maintaining account plans, pipeline tracking, and forecasts in Salesforce CRM. Travel across Europe is required as needed.

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.

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.

Designs and owns Frame’s visual marketing presence across sales decks, one-pagers, proposals, case studies, websites, campaigns, social media, email, and events. Builds scalable design systems, templates, component libraries, and brand guidelines. Uses AI tools to streamline design workflows, partners with product and R&D on UI work, and maintains brand consistency across teams and channels.

Own application security across the software development lifecycle, including threat modeling, secure design and code reviews, application and API testing, production hardening, vulnerability remediation, and CI/CD controls. Strengthen cloud and platform security through identity guardrails, infrastructure-as-code, Kubernetes controls, policy automation, and secure-by-default practices. Define security metrics, support security programs, train engineering teams, and communicate remediation guidance to technical and leadership stakeholders.

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.

The Escalation Engineer will troubleshoot and debug technical issues, collaborate with engineering teams, support customer success, and own escalations.

The Senior DevOps Engineer will design multi-cloud architectures, automate infrastructure provisioning, implement CI/CD pipelines, and enhance system reliability while mentoring other engineers.

Design and improve security architecture for NVIDIA networking firmware and embedded subsystems. Responsibilities include threat modeling, identifying firmware and hardware interaction weaknesses, defining lifecycle security features, translating threats into requirements, partnering on hardware security primitives, and guiding secure firmware development. The role covers secure boot, identity and key storage, privilege separation, attestation, debug authorization, secure updates, memory-safe C practices, static analysis, and fuzzing.

Senior Product Manager responsible for defining and prioritizing cybersecurity platform features, translating customer and market needs into requirements, managing roadmaps, and driving product delivery. The role partners with engineering, field teams, customers, and product stakeholders to improve onboarding, integrations, and data flow while balancing technical feasibility, business objectives, and customer outcomes.

Conduct vulnerability research across AI applications, low-level products, cloud environments, and open-source projects. Discover vulnerabilities, develop proof-of-concept exploits, reverse engineer binaries and security products, analyze internal code, and monitor CVEs and attack techniques. Publish technical research through blogs and conference presentations while collaborating with product and engineering teams to improve Zafran’s security posture and product capabilities.

Lead offensive research against client assets and emerging Cloud/AI technologies to find and exploit vulnerabilities, translate findings into product value, publish technical write-ups, and represent the company at security conferences.

Lead architecture and delivery of cloud-native, Kubernetes-based features; design systems, write design docs, decompose ambiguous AI-driven problems into shippable work, operate high-scale production systems, mentor engineers, and apply AI tooling to product engineering.

You will architect distributed systems, manage endpoint deployments, scale data infrastructure, and deliver full-stack features while ensuring technical excellence.

Lead implementation and governance of production security across internal and contract manufacturing: design and maintain PKI, manage certificates and keys, harden test datpaths and endpoints, enforce segmentation and access controls, audit policies, and present security status to leadership.

Conduct advanced vulnerability research on endpoint operating systems and third-party software, develop proof-of-concept exploits, document and publish findings, collaborate with product and engineering teams to improve protections, and proactively monitor emerging vulnerability trends.

Perform security reviews, threat modeling, vulnerability management, detection and response for cloud-native and CI/CD environments; collaborate with engineering and FedRAMP teams to harden products and infrastructure.

Perform applied security research to model risks and attack vectors for cloud- and AI-native systems. Build high-quality prototypes and PoCs, define agentic workflows, and collaborate with engineering and product teams to integrate research into production. Investigate code, cloud, and AI technologies to unlock new features and product areas.