לוח משרות דרושים הייטק אבטחת מידע / סייבר משרה מלאה

We're looking for a Threat Detection Researcher to join the Threat Research team and spread the power of our company. In this role, you will further develop the Cloud-native Threat Detection domain.
WHAT YOULL DO
Design behavioral baselines for complex cloud environments using diverse signals, and develop high-fidelity detections based on those baselines.
Expand our company's detection engine with novel and high-impact telemetry sources, pushing the boundaries of what can be detected in modern cloud environments.
Conduct deep technical research into complex cloud services to uncover novel attack vectors.
Investigate real-world attacks across cloud environments, identity providers (IDPs), and infrastructure-as-a-service (IaaS) platforms.
Hunt and analyze emerging threats and active campaigns targeting cloud ecosystems.

Were looking for a top-notch Threat Detection Researcher to join our team and spread the power of our company. In this role, you will further develop the company Runtime Sensor as part of our threat research team.
WHAT YOULL DO
Develop detections and tools to protect customers from cloud threats
Investigate attacks on cloud environments and malware targeting cloud workloads
Hunt and analyze real-world attacks and emerging cloud threats
Collaborate closely with the R&D team to transform research insights into product features
Work with customers in response to requests related to suspicious activity or potential incidents
Create best practices and security policies based on research findings
Deliver external-facing content (blog posts and talks at security conferences) based on security insights and novel research.

we are seeking to hire a Fraud Threat Analyst to join the Intel Desk group. In this role, you will be responsible for researching, evaluating, and analyzing fraud detection mechanisms and vulnerabilities across various platforms and solutions. You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations to identify fraud risks, and monitor online platforms to detect malicious activities. You will also focus on uncovering fraud tactics, behavioral vulnerabilities, and process bypasses while delivering actionable mitigation recommendations to clients. Key Responsibilities:
* Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the darknet).
* Analyze large datasets to uncover patterns and deliver actionable insights.
* Monitor third-party websites and channels for malicious activities and fraud risks.
* Prepare detailed reports with findings, insights, and actionable recommendations.
About us:
we are the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, our company empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, our company enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes

We are seeking a highly skilled and experienced Cloud Security Engineer to join Autofleets security team, supporting the global Element Fleet Management cloud infrastructure across North America, Europe, Latin America and Australia.



This role is critical in ensuring the security and integrity of Element Fleet multi-cloud infrastructure and services. The ideal candidate will have a deep understanding of cloud security principles, architecture, and technologies, CSPM and Secrets Management.

As the Cloud Security Engineer, you will be responsible for designing, implementing, and maintaining robust security measures to protect our assets and data in various cloud environments. Working closely with various international stakeholders to integrate security best practices in all stages of the cloud lifecycle, from design and deployment to monitoring and incident response.

Key Responsibilities:
Design and maintain secure cloud architectures on GCP, AWS and Azure ensuring alignment with best practices and regulatory requirements.
Manage and maintain Elements cloud security posture and secrets management.
Deploy and manage cloud security tools such as Wiz, GCP Security, and other hyperscale security platforms to protect infrastructure, data, and applications.
Continuously monitor cloud environments, detect threats, and lead effective incident response and remediation efforts.
Ensure compliance with global standards (e.g., GDPR, ISO 27001, NIST) by driving audits, risk assessments, and security governance processes.
Drive continuous improvement of cloud security, championing automation, zero-trust architecture, and emerging security capabilities.
Collaborate with DevOps, IT, and engineering teams to embed security into development and deployment lifecycles from day one.
Communicate risks and strategies clearly to both technical and non-technical audiences, and promote security awareness across the organization.

We are seeking a Staff-level Senior AI Security Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems.Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.
In this role, you will partner with data scientists and security researchers to define how 'we ecure AI applications.
Responsibilities
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within and externally through seminars, blogs, papers, and conference talks.

Were hiring our first Security Researcher to join our newly formed Security Research function- a critical role for someone passionate about advancing real-world SOC operations with deep cybersecurity expertise.
We are building a world-class Security Research team that will power our advanced product with deep, actionable cybersecurity expertise. This team will serve as the Subject Matter Experts (SMEs) behind our triage and Incident Response platform, defining logic, contributing threat intelligence, building use-case coverage, and continuously optimizing detection and investigation workflows.
Youll collaborate closely with Product, Engineering, and Customer Success to ensure our Auto-Triage engine reflects the latest adversarial techniques and real-world SOC operations.
Responsibilities
Serve as a domain expert in SOC workflows, alert triage, and incident response.
Design and maintain triage logic, playbook blueprints, AI Agents and more for responding to security events.
Develop and maintain alert enrichment, correlation, and classification rules across multiple data sources (EDR, SIEM, Identity, etc.).
Collaborate with product teams to define use cases, threat coverage, and analyst workflows.
Analyze real-world alerts, telemetry, and incident data to enhance product accuracy, reduce false positives and improve incident handling.
Evaluate and curate threat intelligence feeds and sources to support automated decision-making.
Conduct post-incident reviews to extract lessons and update triage logic accordingly.
Stay current with emerging threats, attacker TTPs, MITRE ATT&CK, and other frameworks.
Assist with quality assurance, testing, and validation of triage logic before deployment.

Were hiring our first Product Security Researcher (SOC & Incident Response) to join our newly formed Security Research function- a critical role for someone passionate about advancing real-world SOC operations with deep cybersecurity expertise.
We are building a world-class Security Research team that will power our advanced product with deep, actionable cybersecurity expertise. This team will serve as the Subject Matter Experts (SMEs) behind our triage and Incident Response platform, defining logic, contributing threat intelligence, building use-case coverage, and continuously optimizing detection and investigation workflows.
Youll collaborate closely with Product, Engineering, and Customer Success to ensure our Auto-Triage engine reflects the latest adversarial techniques and real-world SOC operations.
Responsibilities
Serve as a domain expert in SOC workflows, alert triage, and incident response.
Design and maintain triage logic, playbook blueprints, AI Agents and more for responding to security events.
Develop and maintain alert enrichment, correlation, and classification rules across multiple data sources (EDR, SIEM, Identity, etc.).
Collaborate with product teams to define use cases, threat coverage, and analyst workflows.
Analyze real-world alerts, telemetry, and incident data to enhance product accuracy, reduce false positives and improve incident handling.
Evaluate and curate threat intelligence feeds and sources to support automated decision-making.
Conduct post-incident reviews to extract lessons and update triage logic accordingly.
Stay current with emerging threats, attacker TTPs, MITRE ATT&CK, and other frameworks.
Assist with quality assurance, testing, and validation of triage logic before deployment.

We are seeking an experienced and detail-oriented Red Teaming team lead to oversee complex research and delivery efforts focused on identifying and mitigating risks in Generative AI systems. In this role, you will lead a multidisciplinary team conducting adversarial testing, risk evaluations, and data -driven analyses that strengthen AI model safety and integrity. You will be responsible for ensuring high-quality project delivery, from methodology design and execution to client communication and final approval of deliverables. This position combines hands-on red teaming expertise with operational leadership, strategic thinking, and client-facing collaboration.
Key Responsibilities
Operational and Quality Leadership
* Oversee the production of datasets, reports, and analyses related to AI safety and red teaming activities.
* Review and approve deliverables to ensure they meet quality, methodological, and ethical standards.
* Deliver final outputs to clients following approval and provide actionable insights that address key risks and vulnerabilities.
* Offer ongoing structured feedback on the quality of deliverables and the efficiency of team workflows, driving continuous improvement. Methodology and Research Development
* Design and refine red teaming methodologies for new Responsible AI projects.
* Guide the development of adversarial testing strategies that target potential weaknesses in models across text, image, and multimodal systems.
* Support research initiatives aimed at identifying and mitigating emerging risks in Generative AI applications. Client Engagement and Collaboration
* Attend client meetings to address broader methodological or operational questions.
* Represent the red teaming function in cross-departmental collaboration with other teams.
About us:
We are the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, we empower security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, we enable organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes.

we are seeking a highly experienced Senior Application Security Engineer to join our Information Security team.
In this pivotal role, you'll be instrumental in integrating security best practices throughout our entire Software Development Life Cycle (SDLC), collaborating closely with R&D, DevOps, and Product teams.
In addition, you will connect security with development, guiding engineering teams to create secure applications by integrating security best practices into our Software Development Life Cycle (SDLC).
Responsibilities
Drive the integration of security controls and best practices in the software development lifecycle.
Lead secure product design, embedding security principles from the beginning stages.
Conduct security code reviews and reduce vulnerabilities alongside R&D teams.
Manage and optimize the Web Application Firewall (WAF) for threat protection.
Collaborate on penetration test remediation, ensuring effective resolutions.
Implement and enforce API security standards.
Establish and maintain development guidelines for secure practices.
Support and enhance the bug bounty program.
Provide guidance and mentorship on secure coding and application security.