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Requirements:
5+ years in security engineering with strong hands-on expertise across both application and cloud/infrastructure security
Hands-on experience with SAST, DAST, SCA, WAF, threat modeling, secure code review, and API security
Experience defining and driving secure development lifecycle programs (SSDLC), including embedding security gates into CI/CD pipelines and GitOps workflows
Experience securing cloud-native environments (AWS preferred, GCP/Azure a plus), including containers, Kubernetes workloads, and microservices
Hands-on experience with Terraform, CSPM/CNAPP tooling, and misconfiguration remediation
Solid understanding of networking fundamentals (TCP/IP, DNS, TLS, network segmentation) with practical experience implementing zero trust architectures and ZTNA
Experience with Okta, Google Workspace, SSO/SAML/OIDC, and least-privilege access models
Familiarity with industry-leading security platforms and tooling across MDM, EDR, SIEM, CSPM/CNAPP, ASPM, WAF, DAST/SAST, ZTNA, and identity security platforms
Proficiency in scripting and automation - Python, JavaScript, Bash, or similar
Broad generalist mindset with the ability to operate across multiple security domains and connect the dots between them

Requirements:
6+ years of experience in Security Research, Product Security, Application Security, or similar roles.
Managerial expereince - leading, mentoring and supporting team members
Strong algorithmic thinking and experience working with complex data.
Proven experience applying AI techniques to large-scale data analysis (ML background is not required).
Deep understanding of security principles in SaaS, cloud, and application security.
Experience researching application logic, permission models, and access control systems.
Strong ownership mindset and ability to lead a technical domain.
Excellent communication skills and ability to collaborate cross-functionally.
Comfortable working in a small, fast-moving startup environment.

Requirements:
10+ years of software engineering experience with deep production-level mastery of Go and/or Java (Python a plus), and a strong track record of building and operating high-scale distributed backend services.
A track record of being a recognized subject-matter expert others seek out to review and elevate their designs, with a passion for building high-scale distributed systems.
Platform thinking: proven experience building and evolving platforms, not just features, with a focus on API design (gRPC, REST), service boundaries, multi-tenancy, and shared infrastructure in a high-scale SaaS environment.
Strong background in distributed data processing and microservices, building high-quality, scalable data products that handle millions of events per second.
Deep experience with AWS and/or GCP, Kubernetes, Docker, Postgres, Redis, Kafka, Cassandra, and ClickHouse.
Hands-on experience leveraging AI in the development process (e.g. AI coding assistants and agentic dev tools such as Claude Code, Cursor, or Copilot) and a desire to reshape how a team builds software to better utilize AI.
Experience embedding AI into production services, building agentic and LLM-powered capabilities. Familiarity with modern techniques such as agentic frameworks and orchestration, retrieval-augmented generation (RAG), the Model Context Protocol (MCP), vector databases, prompt engineering, and evaluation and guardrail frameworks for reliable AI systems is a strong advantage.
The ability to turn vaguely specified, complex requirements into efficient, future-proof end-to-end designs, and to drive multi-team initiatives and influence the engineering roadmap.
Strategic communication: able to articulate complex technical trade-offs to both technical and non-technical stakeholders, including Product Management, Directors, and VPs.
Ability to swiftly delve into new products, and to collaborate effectively with local and remote teams across time zones.
Customer focus: you care about delivering value and want to hear directly from customers on how to evolve your systems.
Previous experience developing security-related products is a strong advantage.

Requirements:
3-5 years of hands-on experience in cybersecurity across multiple domains (e.g., cloud, network, application), ideally including consulting roles.
Strong understanding of networking and cloud fundamentals, with the ability to translate technical concepts into business language.
Proficiency in risk assessment and management methodologies, including familiarity with leading frameworks such as NIST CSF or ISO 27005.
Excellent analytical skills, project management discipline, and fluency in both English and Hebrew (written and spoken).

Requirements:
What we need to see:
B.Sc. in Computer Science, Electronic/Electrical Engineering, Cybersecurity, or equivalent experience.
At least 5 years of hands-on experience in a technical cybersecurity role (Infrastructure Security, OT/Industrial Security).
Strong practical understanding of PKI, digital certificates, encryption, TLS, and key management.
Experience with factory production flows, ATE data paths, or hardware production pipelines.
Hands-on experience with network segmentation, OS hardening (Windows/Linux), and secure access controls.
Proven track record of driving security projects end-to-end in sophisticated environments.
Ability to enforce compliance standards across third-party manufacturing sites.
Clear verbal and written communication in English.
Self-reliant, proactive, and highly motivated.

Ways to stand out from the crowd:
Certifications: GICSP, CISSP, or specialized PKI/Crypto certifications.
Scripting skills (Python, Bash, PowerShell) for security automation.
Familiarity with OT/ICS security frameworks (NIST 800-82, IEC 62443).
Experience in PE, chip validation, or manufacturing test environments.
Familiarity with NVIDIAs product security lifecycle or similar silicon vendor environment.

Requirements:
Your Knowledge & Skills
5+ years of experience as a threat researcher, incident responder, malware analyst, detection engineer or other relevant roles.
Practical experience in tracking state-sponsored or advanced financially motivated actors - including malware, infrastructure and TTPs.
Profound knowledge and understanding of malware and common attacking techniques.
Hands-on experience in automating and optimizing hunting and enrichment processes using code (preferably Python).
Familiarity with query languages and data exploration tools.
Ability to translate technical findings into actionable detection and prevention signatures.
Experience in writing technical blog posts and technical analysis reports.
Experience in public speaking and presentation of research in cyber security conferences .
Fluent English.