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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.
In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.
Here are a few of the things you'll do:
Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving toward an AI-first, autonomous fraud detection ecosystem.
AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.
Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.
Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.
Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.
Requirements:
5+ years of experience in fintech or payments fraud analytics. You are a seasoned IC who has scaled fraud programs in complex, high-volume environments.
AI/ML Expertise: Proven experience leveraging Generative AI, LLMs (e.g., RAG, agentic workflows), and Machine Learning to solve real-world risk problems. You don't just use these tools; you know how to build with them.
Technical Powerhouse: Mastery of Python (for data science and automation) and SQL (performance tuning, CTEs, window functions). You are comfortable working alongside engineers and data scientists.
Network Analysis: Deep experience with graph databases (Neo4j, TigerGraph) and link-analysis techniques to identify organized criminal networks.
Demonstrated ability to translate complex quantitative findings into executive‑level insights and influence roadmaps across product, engineering, finance, and support.
Strategic Influence: While this is not a management role, you have a track record of influencing technical roadmaps and advising senior leadership on risk-reward trade-offs.
Advanced data‑visualization skills (Looker, Tableau, Omni, Superset, or equivalent) with a portfolio of self‑service dashboards adopted by the company‑wide.
Domain Depth: Expert knowledge of the payments lifecycle, including CNP, ACH, and RTP risk, as well as the specific fraud challenges of the SaaS and marketplace sectors.
Regulatory Fluency: A solid understanding of PCI DSS, Nacha rules, and the emerging regulatory landscape surrounding AI in financial services
Prior experience scaling fraud programs in a marketplace, SaaS, or creator‑economy context - Advantage.
Education: Bachelors or Masters degree in a quantitative field (e.g., CS, Statistics, Mathematics, Economics) or equivalent technical experience- Advantage..
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Security Analyst
About the Role:
An industry leader heading into an exciting phase of growth. In this role, you will play an integral part in shaping a new and innovative SaaS product through deep data exploration, detection engineering, core KPI tracking, and actionable insights.
If you are a talented Security Data Analyst passionate about elevating trust, optimizing product performance, and leveraging next-gen technologies to protect customers, we want you on our team!
What youll do:
Build & Fine-Tune Detections: Design, build, and optimize detection rules and risk models to identify emerging fraud vectors while fine-tuning alert thresholds to minimize false positives.
Drive Product & Threat Analytics: Perform Exploratory Data Analysis (EDA), track core product/risk KPIs, and deliver data-driven insights that directly influence product strategy.
Escalation & Optimization: Act as an analytical escalation point for high-stakes enterprise client investigations, providing tailormade analytics to improve detection performance.
Actionable Visualizations: Translate complex data trends into clear dashboards and executive-ready reports that drive action across internal and external stakeholders.
AI & Automation Vision: Configure and deploy AI Agents & Skills within analytical workflows to serve as a key productivity multiplier for the team.
Cross-Functional Collaboration: Partner closely with Product and Analytics teams to support new feature rollouts and strategic decision-making.
Requirements:
What youll need:
2+ years of experience as a Data Analyst / Fraud Analyst / Security Data analyst in a fast-paced, data-rich SaaS environment.
Detection & Analytics Focus: Proven experience in analyzing security/fraud data, building detection logic, and performing Exploratory Data Analysis (EDA).
Strong Tech Stack: Proven expertise in BigQuery and advanced SQL. Hands-on experience with Grafana (or modern visual analytics tools).
Programming: Solid familiarity with Python (Pandas/NumPy) for data manipulation and analysis.
Communication & Stakeholder Management: High verbal and written communication skills in English-capable of leading discussions and presenting complex analytical findings to Enterprise clients and internal leaders.
Problem-Solving & Agility: A proactive mindset with a proven ability to multitask and turn complex data into clear action items.
Education: BA/BS in Statistics, Industrial Engineering, Operations Research, Computer Science, Economics, or a related quantitative field.
Advantage:
Experience in building, configuring, or leveraging AI Agents / AI Tools to automate workflows.
Hands-on experience with cyber/fraud detection mechanisms and threat analysis.
Prior experience in a modern SaaS/B2B Product Analytics role.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
You will be the only SOC analyst based in Israel, while the rest of the analyst team operates from the Philippines. You will act as the SOCs local anchor - the on-site technical counterpart for the Israel-based Cyber Security, IT, Operations, and R&D teams, and the escalation and knowledge bridge between them and the offshore shifts. The role calls for ownership, independence, and the appetite to build and improve, not only to operate.

Responsibilities

Monitoring and Detection: Continuously monitor SIEM, endpoint protection (EDR), IPS, mail security, CASB, cloud, and identity security solutions to identify potential threats.
Incident Response: Serve as one of the first levels of escalation for security incidents - investigate, contain, and drive resolution before escalating to the senior SecOps members, in accordance with defined procedures and SLAs.
Incident Coordination: Lead coordination of major incidents until ownership is transferred to the relevant SecOps, IT, Operations, or R&D team; ensure clear communication, escalation, and tracking of action items.
Threat Analysis: Analyze logs, network traffic, endpoint telemetry, and native (in-tool) alerts to determine root cause, scope, impact, and remediation steps.
SIEM and Detection Engineering: Own day-to-day operation of the SIEM - data onboarding and ingest pipelines, field mapping and data quality, dashboards and platform health - and write, tune, and maintain detection rules while measuring their effectiveness.
Exclusion and Exception Management: Own the exclusion and exception lifecycle across the security stack: review requests, assess risk, apply scoped, time-bound exclusions, and revalidate them periodically.
Automation and AI-Assisted Operations: Build and maintain automations across the SOC toolchain (enrichment, containment, ticketing, reporting), and design, implement, and validate AI/LLM-based workflows for alert triage, investigation support, and documentation - including guardrails and quality control of AI output.
Investigation Documentation: Create and maintain detailed incident tickets, including investigation audit trail, action items, and timelines.
Technical Leadership: Act as the senior operational reference for the analyst team: help prioritize workload, assure investigation quality, maintain consistent handling of incidents, escalations, and shift handovers, and mentor analysts on tooling and methodology.
Collaboration: Work closely with the Cyber Security team, IT, Operations, and R&D locally, and with the offshore SOC team across time zones.
Continuous Improvement: Drive improvements to detection logic, automation, operational runbooks, and shift handover documentation based on lessons learned from incidents.
Compliance and Reporting: Support reporting for compliance audits, management reviews, and threat intelligence updates.
Requirements:
3-5 years of hands-on experience in a SOC or cybersecurity operations role.
Proven experience with a SIEM platform, including detection rule engineering and content development (Advantage: Elastic).
Experience with EDR and additional security tools and platforms (Advantage: CrowdStrike Falcon).
Practical experience using AI/LLM tools in technical workflows, with a clear understanding of their limitations and failure modes.
Broad technical foundation across the SOC domain: threat vectors, malware behavior, network protocols, operating system internals, identity, cloud, and SaaS security controls.
Strong analytical and problem-solving skills, with the ability to correlate events across multiple data sources and think beyond the alert.
High degree of ownership and autonomy - able to operate as the only analyst on site, set priorities independently, and drive tasks to closure.
Excellent communication skills and the ability to work effectively with distributed teams across time zones.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Cyber Data Analyst.
As a Senior Cyber Data Analyst for the Asset Intelligence Research team, you will conduct research to enhance the asset intelligence platform. You will lead end-to-end research projects, collaborating directly with Product and Development teams to convert technical research into product features. You will analyze large-scale security asset data, automate workflows, and prototype logic to address how enterprise assets are discovered, classified, and trusted. This is a high-impact role where your research directly shapes how our customers manage, prioritize and secure their entire assets inventory.
Responsibilities:
Lead end-to-end research projects focusing on asset data quality, fidelity assessment, enrichment, and correlation across device, identity, software, and SaaS asset types.
Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate asset research, and prototype enrichment and classification logic.
Research and define gating conditions that evaluate assets across three dimensions: Existence, classification, and risk and criticality.
Partner with Product and Engineering teams to transform technical research into production-ready product capabilities.
Requirements:
4+ years of professional experience in security research, cyber asset management, threat intelligence, or security data analysis.
Demonstrated proficiency with Python for scripting/automation and SQL for querying complex, large-scale security datasets.
Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.
Practical understanding of security data sources and their signal quality- including EDRs, MDMs, CMDBs, network scanners, cloud providers, and SaaS management tools- and the ability to reason about the reliability of each.
Preferred Qualifications:
Prior experience in B2B SaaS or enterprise cybersecurity product environments.
Experience in cybersecurity asset management (CSAM), IT asset management (ITAM), or cyber asset attack surface management (CAASM).
Experience designing asset fidelity or criticality scoring logic that combines signals across multiple data sources.
Proven track record of framing open-ended security data problems into scalable software feature requirements.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Software Engineer in the Detection Platform group, you will be responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will participate in the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide.
Requirements:
7+ 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.
Deep experience with AWS and/or GCP, Kubernetes, Docker, Postgres, Redis, Kafka.
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.
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.
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.
This position is open to all candidates.
 
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25/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are revolutionizing legal tech with an AI-powered Legal Intelligence Platform trusted by some of the world's fastest-growing companies including Wiz, Socure, and Fiverr.
We integrate seamlessly with Salesforce and other systems to help in-house legal teams accelerate negotiations, reduce risk, and unlock institutional knowledge through automated workflows.
We're solving complex problems at the intersection of AI and legal operations. Join us as we scale our impact globally.
About the Role
We're looking for a Head of Security to own security end-to-end at our company- from the architecture of our product to the systems our own team runs on.
We handle some of the most sensitive documents our customers have, and our buyers' security teams scrutinize us accordingly.
You'll be our first dedicated security hire and the sole internal authority on the subject: setting the standards our engineers build against, owning our compliance posture, and sitting across the table from customer CISOs to defend it.
This is a hands-on role with real strategic weight - if you want to build a security function from scratch at a company where security is a deal-maker, we want to hear from you.
What You'll Do
Design, architect, and implement security directly into our product and codebase
Own our internal security posture: corporate IT, access management, endpoint, and employee security practices
Lead customer-facing security engagements - pre-sales security reviews, CISO-level discussions, security questionnaires, and enterprise assessments - representing our company's posture to buyers who evaluate us seriously
Own our compliance program end-to-end, including audits, evidence, and vendor risk
Set security standards and best practices across R&D and product as the internal authority on the subject
Build the security review process for how we ship AI features - threat modeling around LLMs, agentic workflows, and customer data boundaries
Partner with DevOps and engineering on cloud security, secure architecture, and incident readiness
Grow the security function as we scale, from process to headcount.
Requirements:
Passion to own and deliver - you take full responsibility for security outcomes and drive initiatives from idea to production
Curiosity and adoption of AI tools - you actively use tools like Cursor or Claude Code and are excited about how AI is transforming both software development and the threat landscape
7+ years of hands-on security experience, with real depth in product or application security
Experience in customer-facing security roles, representing a company to client CISOs, IT directors, and security teams across enterprise and SMB
Strong command of cloud security (AWS/GCP/Azure), web application security, and secure architecture design
Hands-on experience running or building a compliance program (SOC 2, ISO 27001, or equivalent)
A builder's mindset - comfortable establishing process and structure where none exists
Ability to thrive in a fast-paced environment, balancing deep technical execution with high-level strategic and client conversations
Strong communication skills, effective in a fast-paced startup environment
Bonus Points
Experience securing LLM-powered applications, agentic systems, or AI infrastructure
Background working with legal, financial, or other high-stakes documentheavy domains
Hands-on coding ability in Python or TypeScript
Experience building a security function from scratch, especially as a founding or first security hire
Familiarity with Kubernetes, infrastructure-as-code, and cloud-native architectures.
This position is open to all candidates.
 
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08/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
This is a full-time on-site role for an AI Data Analyst, located in the Tel Aviv District, Israel. The AI Data Analyst will be responsible for analyzing data, developing data models, conducting statistical analysis, and communicating findings to relevant stakeholders. Daily tasks will include interpreting complex data sets, generating actionable insights through data analytics, and supporting the development of AI-powered compliance solutions.
Requirements:
Strong Analytical Skills and proficiency in Data Analytics in Fraud/Payments related role
Strong with Statistics and Data Modeling
Strong background in SQL and writing scripts in Python / JS
Excellent Communication skills and Business understanding
Ability to work on-site in the Tel Aviv District, Israel
Bachelor's degree in Data Science, Statistics, Computer Science, Math, or related field
Experience in the fraud / payments / compliance industry is a plus
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a DFIR Analyst, you will be tasked with delivering rapid, expert breach response for global enterprises facing active cyber threats as part of Digital Forensics and Incident Response (DFIR) team, which operates 24x7x365 on a follow-the-sun model. Working under the direction of an investigation's Technical Lead and Engagement Manager, you will execute hands-on forensic analysis, threat hunting, and investigative work across live incidents spanning endpoint, network, and cloud environments, and incident types from ransomware and business email compromise to identity compromise, zero-day exploitation, APT activity, and cloud/SaaS breaches. This is a foundational technical role built on rigor, where every conclusion must be evidence-backed, every case well-documented, and every finding able to hold up to scrutiny.
Requirements:
A bachelor's or master's degree in Digital Forensics, Cybersecurity, Computer Science, or a related technical field, or equivalent practical self-study, plus 3 or more years of hands-on experience in digital forensics, incident response, or threat hunting, ideally in a consulting or services delivery environment.
Comfort analyzing Windows environments and forensic artifacts, with a foundational understanding of forensic methodologies, evidence handling, acquisition techniques, and chain-of-custody procedures.
Experience with forensic tools such as X-Ways Forensics, Axiom, and FTK; with EDR/XDR platforms (SentinelOne preferred) and SIEMs; and working knowledge of network protocols and network-based forensic analysis.
Scripting and automation capabilities.
Strong verbal and written communication, with comfort documenting and presenting technical findings clearly and precisely.
Ability to perform technical investigations under pressure in high-stakes, time-sensitive situations, while maintaining composure.
An evident self-starter with intellectual curiosity and the ability to adapt to change.
Knowledge of Linux and macOS forensic analysis, exposure to cloud environments (AWS, Azure, GCP) and memory analysis, and foundational experience conducting malware analysis and understanding the reverse engineering process are preferred.
Familiarity with endpoint threat hunting, cyber threat intelligence platforms, the MITRE ATT&CK framework, and AI-assisted tools for streamlining triage, analysis, or reporting workflows is preferred.
Relevant industry certifications, such as GCFE, GCFA, GREM, CFCE, or EnCE, and interest in contributing to industry publications, research, or speaking engagements are preferred.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Security Researcher.
As a Senior Security Researcher for the Exposures team, you will conduct research into vulnerability detection, remediation, and prioritization to enhance our asset intelligence platform. You will lead end-to-end research projects, collaborating directly with Product and Development teams to convert technical research into product features. You will analyze large-scale security data, automate workflows, and prototype logic to address enterprise attack surfaces. This is a high-impact role where your research directly shapes how our customers identify and mitigate their most critical security gaps.
Responsibilities:
Lead end-to-end security research projects focusing on vulnerability detection, risk prioritization, and exposure management logic.
Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate threat research, and prototype research tools.
Research and define remediation strategies, compensating controls, and configuration-based mitigations beyond standard patching.
Partner weekly with Product and Engineering teams to transform technical research into production-ready product capabilities.
Requirements:
4+ years of professional experience in security research, vulnerability analysis, or penetration testing.
Demonstrated proficiency with Python for scripting/automation and SQL for querying complex security data sets.
Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.
Practical understanding of security frameworks and metrics including CVSS, EPSS, and MITRE ATT&CK.
Preferred Qualifications:
Prior experience in B2B SaaS or enterprise cybersecurity product environments.
Experience in exposure management, attack surface management (ASM), or enterprise risk prioritization.
Experience creating custom prioritization and scoring algorithms combining vulnerability telemetry with asset criticality.
Deep knowledge of non-patching mitigation strategies, including registry tweaks, network policy shifts, and configuration hardening.
Proven track record of framing open-ended security problems into scalable software feature requirements.
This position is open to all candidates.
 
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01/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Security Engineer.
As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory.
You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
What Makes This Role Unique :
Clinical AI with real-world patient impact - we operate in an environment where security is not only about protecting systems and data. Security decisions can affect clinical workflows, care-team coordination, customer trust, and patient safety.
Highly sensitive healthcare data - You will help protect medical imaging data, clinical metadata, PHI/PII, customer environments, and AI-driven workflows that require strong privacy, access control, data protection, and auditability.
Security for AI/ML and medical imaging systems - The role extends beyond traditional AppSec into AI/ML security, data pipeline protection, inference integrity, model-related risks, and misuse scenarios in clinical workflows.
Complex healthcare integrations - we integrates with hospital systems and healthcare workflows that may include PACS, EHR, VNA, RIS/worklists, scheduling systems, and communication platforms. You will help secure the data flows, authentication models, APIs, and deployment patterns behind these integrations.
Engineering-driven security in a regulated environment - This is not a checkbox compliance role. However, because operates in healthcare and clinical AI, security must be practical, evidence-based, and aligned with regulatory, customer, and quality expectations.
Cloud-native scale and production ownership - You will work with modern cloud infrastructure, Kubernetes, containers, CI/CD pipelines, identity and access management, observability, vulnerability management, and software supply-chain controls.
דרישות:
5+ years of experience in Product Security, Application Security, Cloud Security, or a similar hands-on security engineering role.
Strong hands-on experience securing production systems, not only performing assessments or reviews.
Strong understanding of secure design, threat modeling, and architecture risk analysis.
Deep knowledge of application security, including OWASP Top 10, API security, authentication, authorization, access control, secure session handling, input validation, and modern attack vectors.
Experience securing distributed systems, APIs, web applications, backend services, and cloud-native architectures.
Strong experience with cloud environments, especially AWS and/or Azure, including IAM, network security, encryption, logging, monitoring, and workload security.
Experience with Kubernetes, containers, infrastructure-as-code, CI/CD pipelines, and modern DevOps workflows.
Practical experience with security tooling such as SAST, SCA, IaC scanning, container scanning, secrets detection, SBOM tools, vulnerability scanners, and cloud security tools.
Experience with vulnerability management, risk prioritization, remediation planning, and working with engineering teams to fix issues at scale.
Strong understanding of software supply-chain security, including dependency risk, build/release integrity, artifact security, and third-party component governance.
Experience working with modern development stacks such as Python, Java, JavaScript/TypeScript, React, microservices, APIs, and cloud-native services.
Ability to influence engineers through technical credibility, practical guidance, and strong collaboration.
Strong commu המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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8805560
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10/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
This is a hands-on role that balances deep technical work along with building and running the function: the Lead drives high-severity incidents end-to-end, serves as the escalation ceiling, and sets the standards and structure the team operates by.

Youre welcome to work in our offices in Tel Aviv, Israel.

Your responsibilities will include:

Build and lead global DFIR capability - select and mature DFIR tooling, and establish the playbooks and follow-the-sun operating model across EMEA, Asia, and APAC while hiring and developing a team of responders.
Lead the technical response to major incidents hands-on - from escalation through containment, eradication, and recovery - and act as the final technical authority on the most complex cases.
Personally conduct end-to-end forensic investigations across cloud, platform, and endpoint environments - log analysis at scale, host and network forensics, memory analysis, malware triage, and timeline reconstruction.
Define and enforce consistent investigation standards across the team: severity and escalation criteria, cross-region handoff quality, and evidence handling that meets legal, regulatory, and forensic requirements.
Partner with the SOC, SOC Automation, Threat Intelligence, Threat Hunting, and Platform Security teams to improve detection fidelity and reduce MTTD and MTTR.
Serve as the technical voice of incident response to executive leadership, Legal, and Privacy - delivering clear, risk-based briefings, regulatory-ready documentation, and root cause analyses (RCA).
Raise the teams technical bar through case reviews and hands-on mentoring, and drive lessons-learned into measurable improvements in controls and readiness.
Requirements:
7+ years of hands-on incident response and digital forensics, including technical leadership of large-scale, high-impact incidents (ransomware, nation-state / advanced threat actors, cloud intrusions, identity compromise).
Experience building or leading IR teams and capabilities in cloud or infrastructure-heavy environments, which are highly regulated (SOC 2, ISO 27001, GDPR/NIS2).
Technical Expertise

Deep knowledge of Windows and Linux internals, with proven disk and memory forensics capability.
Strong cloud-native platform security: containers and Kubernetes, CI/CD, secrets management, cloud control planes, and IAM attack paths.
Fluency in attacker TTPs (MITRE ATT&CK, including the Cloud and Containers matrices), and hands-on experience with EDR, SIEM, and forensic tooling (e.g., Velociraptor, Volatility, X-Ways/EnCase).
Strong scripting and data-analysis skills (Python, PowerShell, SQL/KQL) for investigation at scale, with the ability to validate findings independently and challenge assumptions.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8818167
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שירות זה פתוח ללקוחות VIP בלבד