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We seek a dynamic and experienced Cyber Security Engineer to join us! This role presents an exciting opportunity to work in a fast-growing company with great opportunities to make a difference.
In this role, you will be responsible for:
Design, implement, and maintain security architectures and controls across the organization's Cloud, SaaS, AI, and Corporate environments.
Secure enterprise infrastructure by strengthening cloud security, protecting sensitive data, managing identity and access, and continuously improving the organization's security posture.
Deploy, operate, and optimize enterprise security technologies across Identity, Endpoint, Network, Email, Cloud, SaaS, Data Protection, and Security Operations domains.
Identify, prioritize, and remediate security risks, vulnerabilities, cloud exposures, and SaaS security findings.
Lead end-to-end security projects across multiple teams, collaborating with Engineering, DevOps, IT, and Security Operations to implement scalable security solutions and drive automation.
Support the secure adoption of AI technologies while ensuring security controls align with industry best practices and frameworks such as ISO 27001, SOC 2, NIST CSF, and CIS Controls.

Required Senior Application Security Engineer
As a Senior Application Security Engineer, youll plan, build, and support efforts to strengthen security across the organization. As part of our Security & Platform organization, youll work across the software development lifecycle and the underlying cloud and platform environment.
Youll own application security throughout the SDLC, including security requirements, threat modeling, secure design reviews, code reviews, application and API security testing, and production hardening. The role combines application security, cloud and platform security, and security automation. Youll partner closely with Security, Engineering, Platform, DevOps, and IT teams to build secure-by-default systems and reduce risk at scale.
Youll also define and report meaningful security metrics, including control coverage, vulnerability trends, remediation timelines, security exceptions, and baseline compliance. This is a hands-on engineering role for someone who can move comfortably between architecture and threat modeling, code and API reviews, cloud and identity guardrails, CI/CD security controls, vulnerability remediation, and automation.
Responsibilities
Define, track, and report meaningful security metrics, including control coverage, vulnerability trends, remediation timelines, security exceptions, and baseline compliance.
Own application security across the SDLC, from security requirements and threat modeling through secure design, code reviews, testing, and production hardening.
Strengthen cloud and platform security by implementing scalable security controls, identity guardrails, and secure-by-default practices.
Partner closely with Security, Engineering, Platform, DevOps, and IT teams to reduce security risk and improve security practices across the organization.
Designing controls for multi-account or multi-cloud environments using Terraform, policy-as-code technologies such as OPA or Sentinel, or automated remediation workflows.
Experience running a Security Champions, bug bounty or responsible disclosure program, or delivering hands-on secure engineering training.
You'll translate technical risk into clear remediation guidance and influence engineering and leadership stakeholders through strong written and verbal communication.

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.

Senior hands-on offensive security professional responsible for delivering complex, objective-driven Red Team and Adversary Simulation engagements for local and global clients. The role combines deep technical execution with the ability to independently take ownership of Red Team projects, including threat-informed adversary emulation, covert Red Team operations, Purple Team exercises, attack path analysis, and advanced penetration testing across enterprise, cloud, application, identity, and hybrid environments. The position requires strong offensive tradecraft, sound technical judgment, and the ability to manage assigned engagements from planning through delivery, while contributing to reusable tooling, knowledge sharing, technical quality, and client advisory. It requires the ability to translate realistic attack scenarios into clear insights that improve clients prevention, detection, response, and overall cyber resilience.
Job description
Take ownership of assigned Red Team, adversary emulation, Purple Team, and threat-led offensive security engagements, from planning and rules of engagement through execution, reporting, and client debrief.
Emulate realistic threat actors and execute multi-stage attack chains, including reconnaissance, initial access, persistence, privilege escalation, credential access, lateral movement, command and control, defense evasion, and achievement of agreed business objectives.
Design threat-informed scenarios and map adversary tactics, techniques, and procedures to MITRE ATT&CK and other relevant threat-led testing frameworks.
Assess enterprise environments across Active Directory, Microsoft Entra ID, endpoints, networks, applications, cloud platforms, identity systems, and hybrid infrastructure, chaining weaknesses into realistic attack paths and business impact.
Develop, customize, and maintain offensive tooling, scripts, payloads, command-and-control infrastructure, and operational tradecraft while applying appropriate safety and operational-security controls.
Work closely with SOC, detection engineering, incident response, and security architecture teams to validate detection and response capabilities and translate observed gaps into actionable improvements.
Communicate directly with clients, present technical and executive results, and provide risk-based recommendations aligned with the clients threat landscape and business priorities.
Contribute to technical quality reviews, knowledge sharing, research initiatives, reusable methodologies, and the continued development of the teams Red Team capabilities.

Were growing and looking to hire a Senior Security Operations Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
About the Role:
In this role, you will be a key architect and operator of our modern security posture, focusing heavily on Cloud Access Security Broker (CASB/SSE) architecture, next-generation Endpoint Detection & Response (EDR), and securing the deployment and usage of Artificial Intelligence (AI) and Large Language Models (LLMs) across the enterprise.
As threats evolve, we are proactively embedding AI-driven defense mechanisms while managing the unique threat vectors introduced by enterprise AI adoption. If you thrive at the intersection of data protection, cloud edge security, and cutting-edge automation, this position offers an exceptional opportunity to impact our global defense strategy.
Responsibilities
As a Senior Security Operations Engineer, your responsibilities will include:
Engineering level oversight and support of the operational security environment including endpoint security, cloud/SaaS security, email security, AI security, and network security.
Design, implement, and maintain security solutions for on-premises and cloud environments (e.g., AWS, Azure, GCP).
Architect, configure, and maintain Security Service Edge (SSE), including CASB, Next-Gen SWG, and ZTNA. Establish data loss prevention (DLP) profiles, threat protection policies, and granular access controls across multi-cloud and SaaS environments.
Assist in responses to internal and external compliance audits, penetration tests and vulnerability assessments.
Provide recommendations regarding direction of systems and applications to help secure access, data and assets.
Research and analyze Security Operations Center (SOC) related cyber threats , alerts, and vulnerabilities and ensure our systems are properly protected.
Conduct research on emerging products, services, protocols, and standards relative to the information security arena.
Work with IT Security product vendors and service providers, to evaluate potential security offerings, including product evaluations, pilots and proof of concept installations
Ability to understand and troubleshoot cyber security issues, network configurations, system configurations and upgrades, user authentication, etc..
Ability to work well with other technology areas to deploy security technologies.
Customer service-oriented
Strong work ethic and sense of urgency
Develop and maintain security architecture diagrams, documentation, and standards.

We are looking for a Senior Product Security Engineer to join our Product Security team and help strengthen security across our products and software development lifecycle.
The role is hands-on and engineering-focused, working closely with development and product teams to identify security risks, improve application security, and implement practical security solutions throughout the development lifecycle.
In this role, you will be responsible for:
Work closely with development and product teams on application and product security throughout the software development lifecycle.
Perform hands-on security reviews of applications, APIs, services, and code.
Identify, investigate, validate, and assess product security vulnerabilities and security findings.
Provide practical remediation guidance and work with development teams through remediation.
Perform threat modeling and security analysis for new and existing product capabilities.
Work with application security tools and technologies including SAST, SCA, DAST, API Security, WAF, and related security controls.
Improve and automate Product Security processes, tooling, and security checks across the development lifecycle.
Assess security across modern application environments including web applications, APIs, microservices, containers, Kubernetes, and cloud-native services.
Support secure coding practices and provide practical security guidance to development teams.
Support vulnerability disclosure and Bug Bounty activities, including technical validation, risk assessment, and remediation follow-up.
Contribute to the continuous improvement of Product Security practices and capabilities across our engineering organization.

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.

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.

We seek a Staff Application Security Engineer to serve as the technical core of our bug bounty program within the Product Security Incident Response Team (PSIRT). This is the senior engineer who owns bug bounty reports from intake through resolution: reproducing and validating the vulnerability, assessing its severity, and seeing it through to a verified fix.
The work is deeply technical. Reproducing a vulnerability is only the starting point. From there you read the underlying code, identify root cause, and either propose the fix or design it alongside engineering before confirming it holds. You are also the person researchers deal with directly, which makes clear, credible communication as central to the role as the technical analysis itself.
As one of the most senior engineers on the team, you will set the standard for how triage is done and mentor earlier-career engineers. Beyond the bug bounty queue, you will conduct variant hunts, perform original platform security research, lead major product security incidents, and run forensic postmortems when a significant issue reaches production.
Key Responsibilities:
Triage and Resolve Bug Bounty Reports:
Own incoming reports end-to-end: intake, reproduction, severity scoring, root cause analysis, fix verification, and final disposition.
Reproduce and validate reported vulnerabilities, building out incomplete proof-of-concept code where needed.
Serve as the technical escalation point for the most complex and highest-severity reports, including multi-step exploit chains and cross-system issues.
Perform code review and root cause analysis to identify the underlying defect rather than the reported symptom.
Propose remediations, or design them with engineering, and verify the fix resolves the issue.
Assign and defend severity ratings using the program's severity framework.
Route issues to owning teams, file and track defects, and keep vulnerability records accurate through closure.
Own Researcher and Stakeholder Communication:
Act as our primary technical point of contact for bug bounty researchers across the full lifecycle of a report.
Handle severity and validity disputes directly, keeping every exchange clear, timely, respectful, and technically credible.
Translate technical findings for internal stakeholders and keep engineering and leadership current on status and risk.
Mentor the Team and Raise Triage Standards:
Provide technical mentorship to earlier-career PSIRT engineers, developing depth in reproduction, code analysis, severity judgment, and communication.
Set and maintain the bar for triage quality and strengthen program practices over time.
Lead Advanced Security Work Beyond Triage:
Conduct variant hunts to find related instances of reported vulnerabilities before they are discovered externally.
Perform original platform security research to surface issues ahead of external researchers.

we are looking for a AI Research Engineer, Security.
Our Research team operates like a startup inside : strategic, high-ownership, and working directly with leadership. We drive the innovation behind AI-native platform, researching and prototyping the next generation of capabilities and guiding both product and go-to-market teams in bringing them to customers. We work at the edge of the security industry, envisioning and building first-of-their-kind, category-defining agentic development security solutions.
What You Will Do:
Research and prototype novel approaches to application security that go beyond traditional AppSec tooling.
Build proofs-of-concept for advanced prevention, detection, triage, and remediation capabilities.
Design experiments and validate new security features through data-driven testing.
Partner with product and engineering to bring successful POCs into the core platform.
Evaluate and optimize LLM-based agents and model outputs for security use cases.

We're hiring a hands-on delivery engineer to take Cortex deployments from initial setup through production rollout and keep them running well afterward. You'll own the technical execution of Cortex projects for our customers: standing up the platform, onboarding data sources and endpoints, tuning detections, and building automation playbooks. Once a deployment goes live, you'll also pick up operational issues for it and for other customers.
Responsibilities:
Configure and deploy Cortex XDR, XSIAM, and XSOAR, translating architecture and design decisions into a working environment
Lead endpoint agent rollout, log source and data onboarding, and integration configuration across a customer's security and IT stack
Tune detection rules and correlation logic to reduce noise and align with each customer's environment and threat profile
Build and maintain XSOAR playbooks that automate response actions and reduce manual triage work
Troubleshoot production issues across the platform: agent health, ingestion failures, integration breakage, playbook errors, and detection gaps
Write clear documentation and runbooks
Escalate to Palo Alto support channels when an issue requires vendor involvement, and manage the case through to resolution
Validate a project's technical scope against the signed SOW before kickoff, and flag gaps or risks early

As a Senior Research Scientist, AI & Data Systems at Eon Research, you will conduct applied research at the intersection of AI, data systems, and large-scale storage. you will explore challenging technical problems, publish research in leading peer-reviewed venues, file patents, and translate research breakthroughs into production-ready product capabilities.

This role is ideal for a researcher with a strong publication record, deep expertise in a relevant research area, and experience bringing research into real-world products.

Research Areas
Query Processing and Query Engines: Query optimization and execution over columnar and lakehouse formats, including Apache Iceberg and Parquet, as well as approximate query processing using sketches and synopses.

Storage Systems: Deduplication, compression, and data layout optimization for large-scale storage.

Data Integration and Discovery: Entity resolution, schema matching, table joinability, and data discovery, including the use of LLMs as judges.

Information Retrieval and RAG: Retrieval-augmented generation over enterprise data, including emails, documents, and databases.

LLM Evaluation and Benchmarking: Evaluation frameworks and benchmarks for LLM agents working with enterprise data.

LLMs for Software Engineering: CI failure diagnosis, automated debugging, and program repair.

Were growing fast and looking for an AI Security Team Leader to join our Engineering Team and play a key role in leading the development of our cutting-edge AI security products (VIBESEC).
This is a high-impact, cross-functional role where youll work closely with Product, Design, and other Engineering teams, helping us deliver high-quality, customer-centric security solutions in a fast-evolving domain.
If youre highly accountable, adaptable, and business-value driven, and excited about cybersecurity, cutting-edge AI, and fast-paced startup challenges, wed love to meet you.
What Youll Be Doing:
Lead & Mentor: Lead a high-performing engineering team developing next-gen AI security products in a dynamic, rapidly changing domain.
Drive Value: Work closely with Product and customers to understand business requirements and transform them into robust, high-quality technical solutions.
Cross-Functional Ownership: Collaborate end-to-end with Product, Design, and other R&D teams to execute complex cross-company projects.
Technical Guidance: Provide architectural overview and technical mentorship to your team, stepping in when necessary to guide proper technical decisions and implementations.
Delivery & Quality: Own the execution, quality, and delivery of products running on endpoints and cloud environments in a high-velocity startup environment.

Our team is looking for a Senior Backend Developer with a passion for solving complex scaling problems with a good understanding of efficient, forward-looking system design. Our desired candidate has a can-do attitude that will inspire and help us build rocket ships. om scratch'

What You'll Do


Shape the Core - Design, build, and scale the companys infrastructure at the heart of our product.
Raise the Bar - Continuously refine system architecture, set high technical standards, and push for engineering excellence.
Collaborate Across the Board - Work hand-in-hand with R&D, product, and other teams to deliver powerful cross-platform features.
Engineer for Scale - Architect and build features that thrive in the AI era.
Be a Force Multiplier - Drive improvements in our development processes, tools, and frameworks, so the whole team can move faster and smarter.

we are looking for a Lead SoC Architect
Responsibilities

Definition and detailed hardware specifications of subsystems in the SoC

Breaking down the sub-system architecture into microarchitectural blocks with the related firmware, and SW components.

Understanding the system in which the SoC is integrated to and designing the SoC to perfectly fit into the datacenter system.