לוח משרות דרושים חוקר סייבר בתל אביב יפו

Required Cyber Threat Landscape Researcher
Israel: Tel Aviv/ Hybrid (Israel)
R&D | Full Time | Job Id: 25150
Why Join Us?
The Threat Intelligence group, a key member of the Research department, leads global threat research efforts, and improves threat coverage across the evolving cyber threat landscape.
The group focuses on understanding and tracking cybercriminal organizations, nation-state (APT) actors, hacktivist activity, active malware campaigns, and emerging adversary trends. The research produced by the team supports both strategic insight and the development of advanced security technologies.
This role is responsible for conducting in-depth cyber threat landscape research and owning the full intelligence research lifecycle-from intelligence collection through analysis and written output.
Key Responsibilities:
Research and analyze cyber threat actors.
Be the first to flag trends, new malware, threat actors and intelligence items that stand out in the crowd
Execute the full intelligence research lifecycle:
Monitoring and analyzing the digital underground - including the DarkNet, the DeepWeb, and other open and restricted sources
Gather & flag intelligence that stands out.
Assess, validate, and refine raw information into high-confidence insights
Produce clear, well-structured written research and threat assessments
Build, maintain, and continuously evaluate a diverse set of reliable intelligence sources
Identify long-term trends, relationships, and shifts in adversary behavior
Conduct deep intelligence collection operations and collect proprietary intelligence
Collaborate with other researchers and internal stakeholders to contextualize findings and improve threat coverage
Maintain high analytical and research standards, including sourcing, attribution, and methodological rigor

We are seeking a dynamic and experienced Threat Hunter to lead proactive cybersecurity efforts by uncovering hidden threats across our environment. In this role, you will drive hypothesis-based hunting, perform deep analysis and validation of security telemetry, investigate suspicious network activity, and continuously improve threat detection and response. You will also assess CVE relevance and exploitability to prioritize real-world risk, and leverage threat intelligence feeds and enrichment pipelines to enhance hunting context, detection accuracy, and response effectiveness.

If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.


Responsibilities:
Apply data analytics to analyze security-related network data, uncover actionable threat intelligence, detect anomalies and malicious behavior, and automate findings into an enhanced detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Work closely with Product and Engineering to translate threat intelligence into product strategy, prioritized features, and defensive enhancements.
Monitor and analyze the latest vulnerabilities, CVEs, exploits, and threat actor TTPs, with a focus on techniques relevant to microsegmentation, identity security, lateral movement, and internal reconnaissance.
Integrate external threat feeds and intelligence sources into our product - including normalization, enrichment, classification, and validation of feed relevance.
Contribute to detection logic, threat models, and internal tooling that turn intelligence into prevention and protection.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.

We are looking for a Malware Researcher to analyze and review malware applications. You should have a background in cybersecurity or software development.
Responsibilities:
Training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends.
We are seeking for someone who is willing to learn, can perform effectively under pressure, and maintain high professional standards.

Required Head of Research
About the role:
As the Head of Research, you will lead our threat-research, security-innovation, and vulnerability-discovery efforts. You will define the strategy for how we uncover threats, identify novel attack vectors, influence product direction, and contribute thought leadership to the cybersecurity community. You will manage and grow a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful. This role emphasizes strong people leadership and cross-functional execution, alongside technical depth and hands-on research judgment.
What youll do:
Develop, own and evolve the research strategy by defining high value focus areas (for example misconfigurations, identity threats, workload vulnerabilities, and emerging attack techniques), and ensure alignment with our product roadmap and business objectives.
Lead, coach, and mentor a multidisciplinary research team (researchers, threat analysts, and engineers).
Build a healthy, high-performing org, including hiring, onboarding, and performance management.
Partner closely with product and engineering leadership to turn research insights into concrete roadmap items, detection logic, and customer value.
Drive discovery of new vulnerabilities, attack techniques, or adversary behaviors across cloud and modern infrastructure environments (for example containers, serverless, data stores, IAM).
Define metrics for research impact (for example vulnerabilities discovered, time to validate and operationalize new findings, research-driven product improvements, external reach).
Establish and maintain external partnerships (industry peers, academic groups, independent researchers) to expand our capabilities and pipeline.
Publish and present research findings (blog posts, white papers, conference talks).
Lead vulnerability disclosure and responsible communications.
Ensure the research function has the right infrastructure and processes (tooling, sandboxes, repeatable experimentation, documentation standards).
Stay current with the threat landscape, emerging technologies, attacker tradecraft, and relevant compliance or regulatory shifts.

Were looking for a Security Researcher to help us stay ahead of threats across cloud, runtime, and application environments. This role is intentionally broad and can fit backgrounds in operating systems and Linux internals, vulnerability research, DFIR, penetration testing, and incident response, threat detection, AppSec, and cloud security.
On a typical day youll:
Research and analyze emerging threats across cloud platforms, applications, APIs, and runtime environments
Investigate attacks and security incidents, then turn findings into improved detections and product capabilities
Build detection logic, analytics, rules, and signatures for vulnerabilities, exposures, and active threats
Contribute to runtime and cloud security visibility and detection (Linux, containers, Kubernetes)
Prototype tools and automation to speed up research and improve detection accuracy
Share knowledge through internal enablement, blog posts, whitepapers, or conference talks.

Were looking for a Senior Security Researcher to drive high-impact research across cloud, runtime, and application environments, and translate it into product-grade detections. This is a hands-on role for someone who can lead investigations end-to-end: from understanding attacker tradecraft and vulnerabilities, through building reliable detection logic, to influencing product direction.
On a typical day youll:
Lead deep-dive research into real-world attacks, vulnerabilities, and emerging cloud and runtime techniques
Own complex investigations (DFIR, threat hunting, root-cause analysis) and convert learnings into durable detections
Design and implement advanced detection logic and analytics across cloud assets, containers, Kubernetes, and Linux runtime telemetry
Build prototypes and production-ready components that improve detection accuracy, fidelity, and coverage
Partner closely with engineering and product to shape roadmap priorities and guide implementation details
Develop research methodologies, testing frameworks, and validation processes for new detections
Mentor and level up other researchers and engineers through reviews, knowledge sharing, and technical guidance
Represent the team externally through publications, technical blogs, and conference talks.

In this role, you will be the architect of our "security brain." You will write the low-level code that observes what is happening (eBPF/Golang) and build the AI models that understand, diagnose, and prevent issues (LLMs/Python).
Key Responsibilities
1. The "Eyes": eBPF Development & Systems Engineering
Lead the Cimon Agent: Spearhead the active development of our high-performance eBPF agent "Cimon" using Golang and C.
Kernel-Level Innovation: Design and implement eBPF programs for deep observability, runtime security, and container monitoring.
Performance Obsession: Write beautiful, highly efficient code that runs in the Linux kernel with minimal overhead.
Community Leadership: Actively participate in the eBPF and open-source communities, contributing code and presenting technical deep dives at conferences.
2. The "Brain": AI Innovation & Security Research
AI-Driven Security Solutions: Architect and prototype models for:
Automated Exploitability: Checking SAST/SCA findings for validity.
AI Remediation: Automatically fixing Dockerfile misconfigurations and generating patches.
Model Detection: Identifying AI models embedded within codebases.
Benchmarking & Rigor: Design evaluation frameworks to measure model accuracy, false positives, and robustness in security contexts.
Prompt Engineering: Shape prompt strategies and workflows to translate real-world security challenges into actionable AI logic.
3. The Intersection: Collaboration & Evangelism
Cross-Functional Leadership: Serve as the technical link between the AI development team and the core security engineering team.
Thought Leadership: Author whitepapers, technical blogs, and deliver talks on the cutting edge of "AI for Systems Security."
Mentorship: Guide engineers on best practices for both low-level systems design and AI integration.
Why This Role?
No Context Switching Cost: You won't just be researching; you will be building the tools you research. You control the data collection (eBPF) and the analysis (AI).
Deep Tech Focus: This isn't a wrapper-API role. You will be dealing with kernel bypasses, memory safety, and LLM hallucinations all in the same week.
Impact: Your work will directly power the next generation of automated security remediation.

Lead and grow the team in charge of researching and developing Autopilot, an innovative product for graph-based fully-autonomous investigation and response (Over the Cortex platform).
As the manager of the Autopilot team, you'll lead a team of security researchers, set the project's technical vision and standards, and own its success.
You will lead an innovative team on the research, design, and development of a new graph-oriented security product. Creating investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
You'll work closely with other development and product teams to turn a successful POC into a full-fledged product, staying agile in a dynamic environment and using data-driven empirical research to determine and drive the project in the best direction.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Lead and developa team of security researchers, providing mentorship, guidance, and continuous feedback to help them grow their careers (Manage the team, develop the people).
Drive the research strategy and executionfor new autonomous methods for investigating and responding to targeted attackers, leveraging large-scale XDR data and graph-based algorithms.
Ensure collaboration with engineering, product, and other research teams, acting as a key interface to push the project forward and align on cross-functional goals.
Direct the team's work on deep, hands-on investigations of real incidents to reinforce the best investigation and response approach, leveraging a combination of os-internals, TTPs, semi-labeled data, and large-scale statistical methods.
Foster a disruptive environment that innovates using advanced techniques such as graph algorithms, machine learning, and LLM agents to mimic and scale human security analyst workflows.

As the Code & AI Security Research Manager, you will lead an elite team in redefining trust for an era of agentic automation and hyper-connected supply chains. You will serve as a technical lighthouse and strategic leader, managing a high-performance team to secure the core of modern engineering. Your mission is to bridge deep technical research with product innovation, ensuring our customers' security posture evolves faster than the way they build software.
Key Responsibilities
Lead, mentor, and empower a team of world-class security researchers to pioneer AI-native security strategies.
Define the vision for identifying and mitigating novel attack vectors targeting coding agents and autonomous development workflows.
Oversee the evolution of traditional code vulnerabilities into proactive, self-healing workflows that fix issues before they reach a pull request.
Drive deep-dive research into software supply chain vulnerabilities, including CI/CD pipeline risks and third-party package security.
Proactively collaborate with Product and Engineering leaders to integrate research findings into core platform detection and remediation logic.
Establish the team as a global thought leader by overseeing original research publications, influential blog posts, and conference presentations.

As a Principal/Senior Windows Exploit Researcher, you will be a key member of our Tel Aviv R&D center, responsible for leading research into Windows Anti-Exploit capabilities. You will leverage your top-notch knowledge of the latest exploitation techniques and deep Windows internals to architect and develop the next generation of security protections. Your work will directly contribute to safeguarding our customers from the most sophisticated cyber threats.
Key Responsibilities
Lead advanced research into novel vulnerabilities and complex exploits targeting the Windows operating system.
Architect, develop, and improve sophisticated anti-exploitation mitigations using low-level OS mechanisms, challenging the status quo with innovative solutions.
Drive the design, evaluation, and implementation of next-generation security technologies from conception to deployment.
Develop proof-of-concept (POC) exploits to validate research findings and test the effectiveness of new and existing mitigations.
Analyze customer escalations to help with detecting and preventing malicious activities in our customers networks
Publish research done internally.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. Job description Appdome is looking for a talented, passionate Offensive Researcher to join our innovative research team. If you’re eager to explore cutting-edge mobile security techniques and help safeguard the mobile app ecosystem, this is the role for you! As a key player in our security team, you'll design and execute sophisticated attack simulations on the Appdome platform. Your work will touch on diverse attack vectors, including file systems, networks, jailbreaks, memory injections, and more.