דרושים » אבטחת מידע וסייבר » Research Engineer (Network)

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.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world security research. You'll help us harness the power of trillions of security signals to rapidly diagnose and alert the latest attacker behaviors, drive critical context-rich signals, construct new tools and automations to support customers, identify threats, and detect advanced attacker techniques.
The Responsibilities:
Analyze various network devices, configurations and security products
Implement methods and algorithms to discover network topology, relationships between devices and potential lateral movement paths
Conduct network security assessments to identify weaknesses in customers network infrastructure, and recommend mitigations to monitor and limit unauthorized access
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams

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.

We are looking for highly capable Incident Response Expert. The Incident Response Expert role includes conducting in-depth forensic analysis, investigation and response to real-world cyber threats. A significant part of our investigations is performed onsite at the client location, in collaboration with the clients IT and security teams.
Main Responsibilities:
Participate in forensic and incident response investigations, including large scale sophisticated attacks, conduct log analysis, host and network-based forensics and malware analysis.
Participate in threat hunting: proactively hunt for targeted attacks and new emerging threats in clients networks; as well as security assessments and simulations.
Identify indicators of compromise (IOCs) and tools, tactics, and procedures (TTPs) to help ascertain whether and how breaches have occurred.
Utilize and develop tools and methodologies to improve our existing investigative and hunting technological stack.
Collaborate with IT and Security teams during investigations.
Generate and present a comprehensive and professional report of findings from investigations.

We are looking for a Security Engineer with 1-2 years of experience to join our Internal Security team.
This role combines hands-on cloud and security operations with support for GRC and compliance activities.
You will be involved in securing our cloud, SaaS, and AI-driven systems, monitoring security events, and helping maintain our overall security posture. In parallel, you will support customer security questionnaires and compliance processes.

What You'll Do:
Monitor, triage, and investigate security alerts and incidents across cloud and security tools (EDR, CASB, ZTNA, SaaS security platforms, and identity providers), and support response and remediation activities
Assist in securing cloud environments (AWS/GCP/Azure), including IAM, access controls, network security, and CI/CD pipeline security
Work closely with DevOps and IT teams to implement and enforce security best practices across infrastructure, endpoints, and SaaS systems
Support vulnerability management processes, including scanning, prioritization, and remediation tracking
Support risk management processes by identifying, assessing, and tracking risks, including vulnerability management, remediation efforts, and control gaps
Support customer security questionnaires (RFPs/RFIs) with accurate technical responses
Assist in maintaining compliance with frameworks such as SOC 2 and ISO 27001, including preparing audit evidence and documentation

We are looking for a Senior Security Researcher to join our Identity Threat Detection and Response team. In this role, you will research the evolving threat landscape and develop advanced detections to protect SAAS, Cloud, on-premises, and hybrid identities. You will focus on identifying and mitigating identity-related threats across networks, endpoints, and cloud environments, using statistical classification methods to build effective detection models and protecting customers at scale. Additionally, you will collaborate with cross-functional teams, validate detection concepts on real-world data, and continuously enhance detection capabilities to stay ahead of emerging threats.
Key Responsibilities
Research innovative methods for detecting targeted attackers operating in endpoints, networks, cloud and SAAS environments.
Simulate real-world attacks in lab environments and conduct a deep analysis of the behavior.
Develop and refine statistics-based classification algorithms and techniques to create and improve detection models.
Research specific scenarios to enhance our model's capabilities.
Collaborate within a diverse research group, improving our research processes and leading us to be a better team creating a better product.
Stay informed on the latest APTs, attacker methodologies, and TTPs to ensure our models stay ahead of emerging threats.

We are seeking a Senior / Principal Security Researcher to join our high-caliber Security ML Team. Our team solves complex security challenges using disruptive technologies, AI/ML algorithms, and massive datasets to design and develop groundbreaking security solutions that transition directly from research into production-grade protection.
In this role, you will serve as the core security domain expert within a multidisciplinary team, providing essential security-side expertise to assist in the development of ML models, deeplearning models, and Small Language Models (SLMs). By translating complex malware behaviors and static file attributes into actionable logic, your research will directly shape the algorithms that protect millions of endpoints worldwide. If you are looking to autonomously drive high-impact research initiatives from inception to production and use data-informed critical thinking to influence advanced security modeling, we want to hear from you.
Key Responsibilities
The Bridge to the AI Ecosystem: Serve as the core security domain expert within a multidisciplinary team, translating complex malware behaviors and static file attributes into actionable features, labels, or heuristics-fueling AI algorithms and automated, data-driven security logic.
Telemetry & Sensor Optimization:Analyze raw endpoint telemetry (such as memory buffers, hook outputs, and IPC artifacts) to evaluate algorithm effectiveness and work with AI researchers to tweak or implement new models..
Deconstruct File Behavior: Look past the "black box" of machine learning by digging into executable formats (PE, ELF, Mach-O) and scripts to identify malicious behavior(e.g., packing, anomalous imports, obfuscation).
Drive Intelligent Protections:Take a security hypothesis, validate it via data analysis, and build Python-based proof-of-concepts that scale into production-grade detections-spanning machine learning classifiers to AI-informed automated rule generation.
Shape the Pipeline: Influence data pipeline strategies and model design by ensuring our datasets and automated logic accurately capture the ground truth of modern threat landscapes.

We are seeking a Senior / Principal Security Researcher to join our high-caliber Security ML Team. Our team solves complex security challenges using disruptive technologies, AI/ML algorithms, and massive datasets to design and develop groundbreaking security solutions that transition directly from research into production-grade protection.
In this role, you will serve as the core security domain expert within a multidisciplinary team, providing essential security-side expertise to assist in the development of ML models, deeplearning models, and Small Language Models (SLMs). By translating complex malware behaviors and static file attributes into actionable logic, your research will directly shape the algorithms that protect millions of endpoints worldwide. If you are looking to autonomously drive high-impact research initiatives from inception to production and use data-informed critical thinking to influence advanced security modeling, we want to hear from you.
Key Responsibilities
The Bridge to the AI Ecosystem: Serve as the core security domain expert within a multidisciplinary team, translating complex malware behaviors and static file attributes into actionable features, labels, or heuristics-fueling AI algorithms and automated, data-driven security logic.
Telemetry & Sensor Optimization:Analyze raw endpoint telemetry (such as memory buffers, hook outputs, and IPC artifacts) to evaluate algorithm effectiveness and work with AI researchers to tweak or implement new models..
Deconstruct File Behavior: Look past the "black box" of machine learning by digging into executable formats (PE, ELF, Mach-O) and scripts to identify malicious behavior(e.g., packing, anomalous imports, obfuscation).
Drive Intelligent Protections:Take a security hypothesis, validate it via data analysis, and build Python-based proof-of-concepts that scale into production-grade detections-spanning machine learning classifiers to AI-informed automated rule generation.
Shape the Pipeline: Influence data pipeline strategies and model design by ensuring our datasets and automated logic accurately capture the ground truth of modern threat landscapes.

We are looking for a Senior Security Researcher to join our Identity Threat Detection and Response team. In this role, you will research the evolving threat landscape and develop advanced detections to protect SAAS, Cloud, on-premises, and hybrid identities. You will focus on identifying and mitigating identity-related threats across networks, endpoints, and cloud environments, using statistical classification methods to build effective detection models and protecting customers at scale. Additionally, you will collaborate with cross-functional teams, validate detection concepts on real-world data, and continuously enhance detection capabilities to stay ahead of emerging threats.
Key Responsibilities
Research innovative methods for detecting targeted attackers operating in endpoints, networks, cloud and SAAS environments.
Simulate real-world attacks in lab environments and conduct a deep analysis of the behavior.
Develop and refine statistics-based classification algorithms and techniques to create and improve detection models.
Research specific scenarios to enhance our model's capabilities.
Collaborate within a diverse research group, improving our research processes and leading us to be a better team creating a better product.
Stay informed on the latest APTs, attacker methodologies, and TTPs to ensure our models stay ahead of emerging threats.