דרושים » אבטחת מידע וסייבר » Threat Detection Researcher (Cloud)

Were looking for a top-notch Threat Detection Researcher to join our team and spread our power. In this role, you will further develop the 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 and AI workloads
Hunt and analyze real-world attacks and emerging cloud and AI 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're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you.
We're looking for a Manager to lead a security research team for detection and response across cloud environments.
This is an opportunity to lead an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Manage a team of security researchers conducting research on attacks against cloud data , Kubernetes and containers.
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Oversee simulation of real-world attacks and deep behavioral analysis to inform and validate detection content.
Foster collaboration across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Represent the team and share insights with the security community through blogs, conference talks, and publications.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you.
We're looking for a Manager to lead a security research team for detection and response across cloud environments.
This is an opportunity to lead an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Manage a team of security researchers conducting research on attacks against cloud data , Kubernetes and containers.
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Oversee simulation of real-world attacks and deep behavioral analysis to inform and validate detection content.
Foster collaboration across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Represent the team and share insights with the security community through blogs, conference talks, and publications.

We're looking for a talented AI Security Researcher to join our team and play a critical role in our foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.
WHAT YOULL DO
Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you. This is an opportunity to join an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Contribute to a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Simulate real-world attacks and perform deep behavioral analysis to inform and validate detection content.
Collaborate across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Share insights with the security community through blogs, conference talks, and publications.

We're looking for a talented Applied Security Researcher to join our team and play a major role in our frontier research team, enabling contextual code understanding across complex cloud deployments.
WHAT YOU'LL DO
Investigate the Code, Cloud, and AI technologies that we integrate with and protects, answering key research questions to unlock new features and product areas.
Design and build high-quality functional prototypes, driving abstract product ideas from inception into working PoCs and supporting development teams through initial implementation.
Conduct technical research to model risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Define and implement novel agentic workflows and advanced methods to express consistent contextual understanding of evolving application and cloud environments.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you. This is an opportunity to join an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Contribute to a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Simulate real-world attacks and perform deep behavioral analysis to inform and validate detection content.
Collaborate across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Share insights with the security community through blogs, conference talks, and publications.

The Cyber Threat Intelligence Hunter will sit within Unit 42 Managed Threat Hunting and support proactive, intelligence-led hunting across customer environments. This role combines hands-on threat hunting with cyber threat intelligence analysis, helping multinational organizations stay one step ahead of adversaries and cyber threats.
Key Responsibilities
Analyze public and private threat intelligence, Unit 42 research, adversary campaigns, malware activity, infrastructure, indicators, and TTPs.
Translate threat intelligence into actionable hunting hypotheses, investigation workflows, hunting queries, and customer-facing findings.
Execute existing threat hunting reports and hunting workflows, investigate results, and support timely customer reporting.
Investigate scheduled hunt detections and compose clear, professional reports when relevant.
Investigate hunting leads based on IOCs, threat intelligence, internal detections, customer telemetry, and emerging adversary behaviors.
Monitor the threat landscape and prepare initial context for emerging campaigns, enabling the global team to continue deeper investigation and hunting.
Collaborate with threat hunters, detection engineers, incident responders, MDR, and Unit 42 researchers to operationalize intelligence quickly and effectively.
Escalate major, unclear, or high-impact security events to the Threat Hunting leadership team when necessary.
Provide ongoing feedback on findings, hunting reports, queries, intelligence workflows, and operational processes to support continuous improvement.

we are seeking a Senior Threat Hunting Researcher for Unit 42s Managed Services group, a senior hands-on role combining threat hunting, detection engineering, and incident investigation experience. You will proactively hunt across diverse telemetry to identify suspicious behaviors and emerging threats that evade traditional security. A key part of the role is translating low-fidelity signals into high-fidelity hunting logic and reusable detection opportunities. You will collaborate with multiple teams to share findings, explain coverage, and support response and improvement efforts.
Key Responsibilities
Proactively hunt for suspicious behaviors, malware activity, threat actor tradecraft, and emerging campaign patterns across large-scale customer telemetry.
Build, validate, and tune hunting and detection logic across multiple data sources and security products.
Translate low-fidelity signals, alerts, incidents, and coverage gaps into high-fidelity hunting content and reusable detection opportunities.
Investigate suspicious activity using available telemetry and clearly communicate findings, limitations, and recommended next steps.
Improve detection quality by reducing false positives, increasing signal fidelity, and identifying meaningful coverage gaps.
Collaborate with MDR, Incident Response, Threat Intelligence, Product, and Engineering to improve protection and operational scalability.
Deliver clear, evidence-based reports and technical findings that help customers understand risk and improve defenses.