לוח משרות דרושים אנליסט סייבר בתל אביב יפו, לחיפוש זה נמצאו 23 משרות

Requirements:
Proven hands-on experience in the cybersecurity industry
Excellent customer service skills
Strong knowledge of networking architecture and protocols, including TCP/IP, DNS, SSL, SMB, HTTP, IP Routing, etc.
Comprehensive understanding of the cybersecurity landscape, common threats, and attack scenarios, such as malware infections, command and control (C&C) communication, drive-by attacks, phishing, and network scans
Practical experience with security technologies, including firewalls (FW), intrusion prevention systems/intrusion detection systems (IPS/IDS), antivirus (AV), security information and event management (SIEM) systems, endpoint protection, and network forensics tools
Analytical mindset, capable of formulating hypotheses and validating them through in-depth analysis and technical evidence
Fluent in English with exceptional communication skills
Proficiency in at least one scripting language such as Python or Ruby
Advantageous: Experience with Extended Detection and Response (XDR) solutions
Advantageous: Previous experience working in Managed Security Service Provider (MSSP) or Managed Detection and Response (MDR) providers as a Threat Hunter or Security Analyst
Ability to work effectively as a team player, demonstrating responsibility and strong organizational skills
Education:
Advantage - BSc. in Computer Science, Information technology, Mathematics or similar.

Requirements:
What We're Looking For
5+ years in security operations, incident response, or threat detection, ideally handling high-volume, high-severity incidents
Background from an MSSP, MDR provider, IR consultancy, or in-house enterprise SOC
Hands-on experience across the IR lifecycle: detection, triage, forensics, containment, remediation, and post-incident reporting
Working knowledge of the modern threat landscape (ransomware, cloud intrusions, identity-based attacks, supply chain compromise)
Experience with EDR, SIEM, and SOAR tooling and how detections flow through a modern SOC
Genuine interest in applying AI/LLM tools to security operations, whether automating enrichment, building triage pipelines, or using AI-assisted analysis in investigations
Comfortable working directly with enterprise customers, including under pressure during active incidents
Familiarity with malware analysis and threat intelligence concepts (you don't need to reverse binaries, but you should speak the language)
Self-directed and comfortable in a fast-moving startup where processes are still being built.

Requirements:
3+ years experience as a threat intelligence analyst in a corporate environment
Knowledge of cybercrime landscape, both financially-motivated threat actors and nation-state
Investigative and analytical problem-solving skills
Active interest and creative thinking in cybersecurity
Experience in writing reports for various types of audience in English
Excellent attention to details and ability to organize and prioritize work with little supervision
An ability to operate semi-autonomously to conduct collection, create solutions and support intelligence production

Requirements:
At least one year of experience in a SOC/MDR or Managed EDR service, including night and weekend shifts.
Strong analytical thinker, problem-solving mindset, and ability to succeed in a dynamic environment.
Independent, bright and positive analyst who strives for excellence.
Proficiency and experience with scripting (Python).
Strong capabilities in drafting cyber security reports for clients.
Basic understanding of the lifecycle of advanced security threats, attack vectors, and methods of exploitation.
Hands-on experience working with SIEM technologies. (e.g. Splunk, QRadar, ArcSight, Exabeam, etc.)
Familiarity with common data and log sources for monitoring, detection and analysis (e.g., Event Logs, firewall, EDR).
Strong technical understanding of network fundamentals, common internet protocols, and system and security controls.
Basic knowledge of host-based forensics and OS artifacts.
Familiarity with cloud infrastructure, web application and servers - an advantage.
Fluent English (written, spoken) - a must. Another language - an advantage.

Requirements:
1-2 years experience with intelligence analysis processes (army included), including Open-Source Intelligence (OSINT) and Web Intelligence (WEBINT) gathering, link analysis, and threat actor profiling
Inherent passion for Infosec and service excellence, understanding of cybersecurity
Investigative and analytical problem-solving skills
Knowledge of analytical tools, including excel
Fluent English
Infosec certifications an advantage
Customer facing background an advantage.

Requirements:
1-2 years experience with intelligence analysis processes (army included), including Open-Source Intelligence (OSINT) and Web Intelligence (WEBINT) gathering, link analysis, and threat actor profiling
Inherent passion for Infosec and service excellence, understanding of cybersecurity
Investigative and analytical problem-solving skills
Knowledge of analytical tools, including excel
Fluent English
Infosec certifications an advantage
Customer facing background an advantage.

Requirements:
Native French speaker
1-2 years experience with intelligence analysis processes (army included), including Open-Source Intelligence (OSINT) and Web Intelligence (WEBINT) gathering, link analysis, and threat actor profiling
Inherent passion for Infosec and service excellence, understanding of cybersecurity
Investigative and analytical problem-solving skills
Knowledge of analytical tools, including excel
Fluent English
Infosec certifications an advantage
Customer facing background an advantage.

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..

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.

Requirements:
3+ years of experience in technical analysis, cybersecurity, cloud technologies, or related domains.
Strong understanding of cloud security, data protection, and SaaS platforms.
Familiarity with data protection, DSPM, DLP, and AI-security markets.
Proven ability to break down complex technical systems and translate them into actionable insights.
Strong interpersonal skills with a collaborative mindset, able to build trust and work effectively across diverse teams.
Excellent communication skills, both written and verbal, to convey technical findings to non-technical stakeholders.
Analytical mindset with a healthy skepticism toward marketing claims and unsupported narratives.

Requirements:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
At least 3 years of experience in an Incident Response or Security Operation roles
Strong understanding of attack vectors, including Phishing, BEC, Email spoofing and impersonation techniques, Malware, ATO and more
Knowledge of email protocols and security concepts: SMTP, SPF/DKIM/DMARC, headers, authentication methods
Strong querying skills using SQL, SPL, KQL or AQL
Good knowledge with Static & Dynamic techniques
Familiarity with and understanding of code and scripting languages such as Python, JavaScript, Visual Basic, or similar - with the ability to read, interpret, and analyze potentially malicious scripts
Excellent written and verbal communication in English
Team player with a proactive, ownership-driven approach.

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.

Requirements:
5+ years of experience in cybersecurity research, with a proven track record of impactful projects.
Good knowledge of Linux OS internals, including both user and kernel space.
Solid knowledge of the cyber threat landscape, modern malware techniques, and APTs.
Hands-on experience in real-world threat hunting, incident response, or detection engineering.
Proficiency in programming languages such as Python, C, and/or C++, with a strong understanding of system-level programming and APIs.
Excellent problem-solving skills and a passion for cybersecurity innovation.
Ability to work independently, take initiative, and collaborate effectively in a team environment.
Preferred Qualifications
Background in EDR/XDR products or security solution development.
Experience in reverse engineering, including familiarity with debugging and disassembly tools such as GDB, IDA Pro, or Ghidra.
Experience in advanced data analysis, statistics, or machine learning for security applications.
Experience with Linux kernel development or vulnerability research.
Familiarity with virtualization platforms (e.g., ESXi/vCenter).

Requirements:
4+ years of experience in security analysis, cloud security, or offensive/defensive security research.
Strong Cloud & IAM Expertise: Practical knowledge of cloud infrastructure security, identity management, authentication protocols, and securing non-human identities/AI workflows.
Analytical & Product-Oriented Mindset: Ability to master the Token platform, understand its capabilities deeply, and leverage it alongside AI-assisted research tools to uncover hidden risks.
Excellent Communication & Reporting: Proven ability to distill complex technical findings into structured, readable reports and present them clearly to both internal sales teams and external customers.
Customer-Facing Capabilities: Comfortable leading technical discussions, walking customers through findings, and acting as a trusted advisor.
Fluent English (both written and verbal).