דרושים » אבטחת מידע וסייבר » Cybersecurity Enablement Engineer

Required Cyber Field Engineer
If you want to grow your skills, make an impact, and be part of an innovative team, this is the place for you.
About The role:
As a Cyber Field Engineer (CFE), you'll sit at the intersection of cutting-edge AI-driven security technology and real customer impact. You'll be the trusted expert who helps some of the world's most security-mature organizations understand exactly how an attacker could compromise their environment - and how to close that gap before it's exploited. This is a hands-on, high-visibility role for someone who wants to work at the frontier of offensive security and applied AI.
Roles and Responsibilities:
Develop deep expertise in the platform and represent it professionally in front of customers
Lead technical sessions with customers, guiding them through findings and remediation best practices
Serve as a trusted product expert, supporting customer education and long-term relationship success
Identify opportunities to expand our engagement with customers, in collaboration with the Sales team
Bring field insights back to internal teams to help continuously improve our platform and services
Stay current with the evolving cybersecurity and AI threat landscape
Travel regularly across the country to meet customers on-site as part of the role
Embrace a dynamic, evolving scope of work - typical of a fast-growing, category-leading company.

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.

Required Sr Software Engineer -Email Security (Cortex)
Job Summary:
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
As a Software engineer on our Email Security team, you will play a key role in shaping and delivering a cutting-edge email security solution within the Cortex platform. Your responsibilities will include designing and developing an infrastructure capable of supporting billions of events per second, collecting, storing, processing, analyzing, detecting threats and making them accessible, visible and actionable for users while seamlessly integrating with the industrys leading cyber-security products. You will design and build a highly available, reliable, and secure solution that adheres to the highest standards. Beyond development, your crucial role involves meaningful cross-organizational collaboration, driving a significant impact to ensure the success of our product. Our Cortex engineering group, primarily based in the TLV office, allows us to operate at a high pace with short decision-making loops. In this role, you will need to demonstrate creativity, innovation and deep knowledge in backend engineering, conducting research to find new technologies. A can-do approach, a passion for excellence and a commitment to continuous improvement are essential qualities for success in this position.
Key Responsibilities:
Take ownership of a brand new product, driving its development from concept and design to full implementation
Focus on meaningful, high impact work, building major parts of a groundbreaking new product
Build a new offering designed to operate at massive scale
Dive into new cutting-edge technologies, researching and integrating them to enhance the products capabilities.

Were looking for an experienced, multidisciplinary Security Engineer with a strong technical foundation and the ability to learn and own new technologies and domains from the ground up.Youll join Corporate Security Engineering within our Cyber Defense organization, Youll design, implement, and mature the security controls that protect our business applications, workforce, and corporate environment.
Youll work closely with Cyber Defense, IT, DRE, R&D, People, Legal, and GRC to embed security controls at scale. Our strategy is AI-first and built on identity-centric controls, Zero Trust principles, and scalable automation.
Youll Own
The security posture of our corporate technology stack, including AI security, identity, DLP and insider risk, EDR, MDM, browser security, SSPM/CASB, network security, and email and collaboration security.
Zero Trust access policies for workforce and external users, along with hardening for macOS, Windows, and Linux endpoints, browsers, SaaS applications, and corporate networks.
Identity and access capabilities, including SSO, phishing-resistant MFA, passwordless authentication, conditional access, device trust, PAM, joiner-mover-leaver controls, and service-account hygiene.
The evaluation and rollout of new security technologies, taking solutions from proof of concept through production.
Automated workflows and API integrations that scale security controls without adding operational overhead or headcount.
SaaS, third-party, and AI governance, including SaaS configuration reviews, vendor security assessments, access reviews, OAuth governance, posture remediation, and enablement-first guardrails for employee AI tools.
Domain expertise for SecOps incident response and partnership with IT and R&D to embed security standards and operating procedures into day-to-day processes.
Youll Solve
How to protect a fast-growing SaaS companys corporate environment across a broad and evolving technology stack.
How to translate security risks into clear requirements, practical controls, and reliable production operations.
How to strengthen identity, endpoint, SaaS, network, email, and collaboration security through a unified Zero Trust approach.
How to automate security processes and integrate systems so controls remain effective as we scale.
How to enable employees to use SaaS and AI tools safely through thoughtful guardrails rather than blanket restrictions.
How to make security standards easy for partner teams to adopt by embedding them into operational workflows and SOPs.
Youll Impact
The security and resilience of our business applications, workforce, and corporate environment.
Our ability to scale securely through stronger identity-centric controls, Zero Trust access, endpoint hardening, and SaaS governance.

As our VP Security & Research, you'll report directly to the CEO and own malvertising detection vision, combining deep security research with AI and agentic innovation. You'll lead our security research team, uncover new attack techniques before they reach users, and turn that insight into detection that works in real time at massive scale. You'll build a research agenda that puts GeoEdge on the stage at the world's top security conferences, and partner with Product, R&D, data Science, Customer Support, and other key functions inside and outside the company to bring it to market. You'll be the security and research voice of GeoEdge for customers, partners, and the wider security community. What You'll Do
* Set the strategy and roadmap for malvertising detection and security research
* Lead, mentor, and grow the security research team
* Drive AI and agentic innovation in detection, working with R&D and data Science to turn research into production-grade capabilities
* Uncover and track emerging malvertising threats, evasion techniques, and attacker campaigns across the ad ecosystem
* Own detection quality: push for uncompromising precision, coverage, and speed
* Drive original research and publications, and represent GeoEdge at leading security conferences
* Partner with Product, R&D, data Science, Customer Support, and other key functions in the organization and outside of it
* Report to the CEO and management on research impact, threat landscape, and priorities

Required Senior Security Engineer
As a Senior Enterprise Security Engineer, you will be a foundational architect of our security posture, directly safeguarding our corporate infrastructure, sensitive financial data, and global user base. This is a highly hands-on, configuration-driven role that requires working directly with systems that power our security program in a modern, cloud-native environment.
Your work will be critical in ensuring we become globally recognized for secure, unparalleled corporate travel and expense management.
What Youll Do:
Vulnerability Management & Exposure Reduction: Architect, manage, and scale the end-to-end vulnerability management program. Oversee continuous asset discovery, vulnerability scanning, threat exposure assessment, and risk-based prioritization (CVSS, EPSS, threat intelligence). Partner closely with infrastructure, engineering, and IT teams to establish SLAs, streamline patch management workflows, and validate effective remediation.
Security Incident Response & On-Call Rotation: Participate in the security engineering on-call rotation. Serve as a responder responsible for identifying, scoping, triaging, managing, and mitigating security incidents, followed by leading thorough post-incident reviews and root-cause analyses.
Detection & Automation Optimization: Help improve and maintain our existing detection pipeline by providing feedback on alert quality, reviewing current monitoring coverage, and performing direct tuning in SIEM platforms to reduce noise and increase signal fidelity. Evaluate existing SOAR playbooks and workflows, offering recommendations and performing targeted updates to streamline response processes.
Identity Governance & Access Control: Define and enforce strong IAM principles (e.g., Least Privilege, Zero Trust) and contribute to identity governance platforms to ensure secure authentication, authorization, and access across the enterprise.
Email Security: Strengthen email security by managing alerts and workflows in platforms like Material Security, reviewing post-delivery threats, and improving automated response to suspicious messages and mailbox activity.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are looking for a hands-on, forward-thinking Security Engineer to join our growing security team. In this role, you will lead offensive security initiatives, build internal automation using modern workflows and AI agents, and manage cloud and infrastructure risks. You will conduct penetration tests across our architecture, analyze deep protocol flaws, write custom tooling, and take security findings from discovery all the way to resolution.
Core Responsibilities:
Penetration Testing & AI Automation: Conduct comprehensive penetration tests across all components of our architecture-ranging from Web APIs down to S3 protocols-and design systems to automate routine pentesting using AI tools.
Protocol & Flaw Analysis: Leverage a deep understanding of network and application protocols to identify architectural and implementation flaws, using AI prompts and modern tooling to uncover edge-case security risks.
Tooling & Process Automation: Write custom internal security tools and leverage AI agents to automate repetitive tasks, incident responses, and continuous security workflows.
Secondary Responsibilities:
Cloud Security Monitoring: Monitor and manage cloud security posture using CNAPP (Cloud-Native Application Protection Platform) tools, maintaining oversight of our cloud infrastructure and containerized environments.
Vulnerability Management & Remediation: Run and maintain regular SAST and DAST scans across operating systems, Docker containers, and source code. Own security findings from discovery through code remediation and validation.
Jira & Delivery Tracking: Manage, prioritize, and promote security Jira tickets through the full lifecycle-from initial triage and assignment through to final delivery and verification.

As a Senior SOC Engineer within Unit 42 at Palo Alto Networks, you will drive the creation, validation, and optimization of custom detection rules and automated playbooks across our global customer base. Acting as a trusted advisor, you will collaborate closely with clients to maximize their security posture using Cortex XSIAM and Unit 42 expertise. This highly analytical role leverages your deep understanding of detection lifecycles, proactive automation, and threat intelligence to secure enterprise environments. You will architect end-to-end security lifecycles that seamlessly connect data ingestion with high-fidelity detection engineering.
Key Responsibilities
Own the full lifecycle of custom detections and response automations, deploying them as high-fidelity Cortex XSIAM correlation rules and playbooks through a rigorous engineering process of development, testing, staging, and soft implementation.
Drive the continuous refinement of correlation rules to ensure strict standards for performance, accuracy, and operational relevance.
Translate Unit 42 threat intelligence research and emerging adversary TTPs into actionable, robust detection logic.
Champion proactive automation by engineering sophisticated playbooks to resolve emerging security challenges and optimize operational workflows ahead of demand.
Architect the end-to-end security lifecycle within Cortex XSIAM, seamlessly connecting data ingestion, high-fidelity detection engineering, and sophisticated response automation.

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 our company's ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
What Makes This Role Unique at our company
Clinical AI with real-world patient impact - our company operates 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 - our company 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 our company 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.
Responsibilities
Secure product and clinical workflows end-to-end - Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features.
Drive secure-by-design architecture - Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling.
Strengthen cloud-native security - Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management.
Embed security into the development lifecycle - Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls.