לוח משרות דרושים הייטק אבטחת מידע / סייבר

Were hiring our first Product Security Researcher (SOC & Incident Response) to join our newly formed Security Research function- a critical role for someone passionate about advancing real-world SOC operations with deep cybersecurity expertise.
We are building a world-class Security Research team that will power our advanced product with deep, actionable cybersecurity expertise. This team will serve as the Subject Matter Experts (SMEs) behind our triage and Incident Response platform, defining logic, contributing threat intelligence, building use-case coverage, and continuously optimizing detection and investigation workflows.
Youll collaborate closely with Product, Engineering, and Customer Success to ensure our Auto-Triage engine reflects the latest adversarial techniques and real-world SOC operations.
Responsibilities
Serve as a domain expert in SOC workflows, alert triage, and incident response.
Design and maintain triage logic, playbook blueprints, AI Agents and more for responding to security events.
Develop and maintain alert enrichment, correlation, and classification rules across multiple data sources (EDR, SIEM, Identity, etc.).
Collaborate with product teams to define use cases, threat coverage, and analyst workflows.
Analyze real-world alerts, telemetry, and incident data to enhance product accuracy, reduce false positives and improve incident handling.
Evaluate and curate threat intelligence feeds and sources to support automated decision-making.
Conduct post-incident reviews to extract lessons and update triage logic accordingly.
Stay current with emerging threats, attacker TTPs, MITRE ATT&CK, and other frameworks.
Assist with quality assurance, testing, and validation of triage logic before deployment.

As part of System Architecture group, the Cybersecurity System Architect will define the end-to-end architecture of advanced network security services, such as intrusion prevention systems (IPS), and host-based intrusion detection systems (HIDS) and firewalling. This role is at the forefront of integrating deep security intelligence into high-performance, scalable network operating systems and telecom-grade platforms.
As part of R&D core function, shaping next-generation secure network infrastructure by embedding deep packet inspection, behavioral analytics, and threat mitigation into the product architecture.
Responsibilities
1. Architecture of Integrated Security Services
Define and lead the system architecture for L3-L7 firewalling, stateful inspection, policy enforcement, and application-aware filtering.
Architect integration of IPS, DPI, signature- and anomaly-based detection, and evasion-resilient detection engines into control and data plane systems.
Specify how HIDS capabilities will be embedded or interfaced with NOS components for detecting host-based anomalies and compromise indicators.
2. Threat Detection & Prevention Frameworks
Design scalable architectures that support high-speed signature matching, traffic heuristics, and flow analysis under real-world traffic conditions.
Define mechanisms for rule updates, threat intelligence feeds, and integration of ML-based detection algorithms.
Architect policy engines for complex rule matching, including user-defined policy trees and hierarchical control structures.
3. Secure System Integration
Lead system-level threat modeling and security design reviews across platform, OS, and networking protocol layers.
Define secure communication paths, trust boundaries, and cryptographic protections for sensitive metadata, logs, and update mechanisms.
Ensure proper isolation and sandboxing of inspection/control modules, especially in multi-tenant or containerized environments.
4. Performance and Resilience Considerations
Design architectures to meet line-rate security enforcement, ensuring minimal latency overhead while preserving packet integrity.
Align with the HW Architecture for performance optimized flow offload strategies (e.g. hardware-assisted DPI).

As a Research Analyst, your responsibilities will include developing, managing and improving existing detection methods, correlating and discovering relationships between events and incidents, and producing research proposals, publications, and analysis reports. You will contribute to process improvement and efficiency by researching, assessing, and analyzing threat actors and adversary tactics and techniques based on real-world observations. We're looking for a motivated and seasoned security professional with the technical skills to analyze malware, conceive, design, and develop new methods or approaches to address Cyber security threats/attacks. We value deep knowledge of hacking methodologies, a proven track record in delivering impactful cybersecurity solutions, and a strong drive to contribute meaningful security insights to our community!

We are looking for a skilled and experienced Security Architect to join our team and take a leading role in designing, implementing, and governing the security posture of our cloud and enterprise environments. This individual will work closely with cross-functional teams to ensure security is embedded across systems, applications, and workflows, aligning with industry best practices and compliance requirements.

we are looking for an experienced and proactive Senior IT Systems Engineer to join our growing IT team. This role will be pivotal in managing our modern, cloud-first infrastructure with a focus on Azure, AWS, Office 365, Intune, and enterprise security platforms.
The ideal candidate is a senior-level engineer who thrives on automation, scalability, and supporting a dynamic, hybrid workforce.
Key Responsibilities:
Design, manage, and secure systems across Azure, AWS, Office 365, and Docker-based environments.
Oversee device management policies and compliance via Microsoft Intune across Windows, macOS, and mobile platforms.
Lead onboarding and offboarding workflows, integrating automation and security best practices.
Develop self-service solutions and automated workflows for IT operations using tools like PowerShell, Python, Azure CLI, AWS CLI, and code/no-code platforms (e.g., Workato, Torq).
Administer Entra ID (Azure AD), including conditional access, MFA, and role-based access control (RBAC).
Enforce endpoint and cloud security using CrowdStrike, firewalls, and Cato Networks, and conduct routine audits.
Troubleshoot and manage complex network environments, VPNs, and cloud-based firewalls.
Provide advanced technical support and guidance to internal IT and service desk teams.
Maintain comprehensive documentation and mentor junior staff.

Were seeking an AI Innovation Security Researcher to serve as the critical link between our AI development team and our security experts. In this role, you will:

Translate real-world security challenges into AI-driven solutions
Shape prompt strategies and model workflows for security use-cases
Contribute to AI system developmenthelp architect, prototype, and iterate on models and pipelines
Design and execute rigorous benchmarks to evaluate the performance of security-focused AI tools
Your work will power capabilities such as automated exploitability checks for SAST/SCA findings, AI-guided remediation of container vulnerabilities (e.g. Dockerfile misconfigurations, unsafe downloads), and detection/analysis of data leaks. Youll also help amplify our thought leadership by authoring blogs and delivering conference talks on cutting-edge AI-security topics.

Key Responsibilities

Research & Benchmarking

Define evaluation frameworks for AI models tackling security tasks
Build test suites for exploitability analysis (e.g. proof-of-concept generation, severity scoring)
Measure and report on model accuracy, false-positive/negative rates, and robustness
AI Collaboration & Development

Work with ML engineers to craft and refine prompt templates for security scenarios
Contribute to model architecture design, fine-tuning, and deployment workflows
Investigate model behaviors, iterate on training data, and integrate new AI architectures as needed
Security Expertise & Tooling

Apply deep knowledge of static and software composition analysis (SAST/SCA)
Analyze container build pipelines to identify vulnerability origins and remediation paths
Leverage vulnerability databases (CVE, NVD), threat modeling, and risk assessment techniques
Content Creation & Evangelism

Write technical blog posts, whitepapers, and documentation on AI-driven security solutions
Present findings at internal brown-bags and external conferences
Mentor teammates on AI security best practices

In this role, you will partner with Product and Engineering for our company Security Operations to build and scale security data analytics solution. The platform handles exabytes of data from customers, integrating contextual telemetry from the enterprise to find and stop cyber attacks. You will be at the forefront of building a correlation/behavioral/enrichment engine, with the ultimate goal of preparing all of this data for AI.
You will be tasked with organizing/parsing voluminous data, building enrichment pipelines and capability that no other product can do at scale with extremely low latency.
A key complexity is the federation layer. As customers increasingly want to keep data within their own perimeter, you will lead development of a distributed analytics solution capable of federating queries across multiple data stores. This requires a solution that can run continuous queries to constantly look for patterns, not just respond to single prompts. Your work will also involve creating a sophisticated abstraction strategy for the complex, multi-system data stack. This will enhance developer velocity by allowing the majority of engineers to focus on delivering security value.
Ultimately, the vision is for the stack to be reused broadly across our company's security products. Your stakeholders will include senior management, engineering leaders across GCP and external partners, all of whose products and services regularly provide to and consume from your system. In this role, you will also work closely with customers to understand their requirements and help make them successful.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $349,000-$485,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at our company.
Responsibilities
Create and evolve long-term strategies for security operations systems leveraging the best of our companys infrastructure.
Evolve security operations architecture to support product features that span across multiple Alphabet products with a cohesive user experience.
Drive innovation to make our company Security Operations the leading security operations platform. Formulate and realize complex technical outcomes in close collaboration with cross-functional partners and leads.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will use your ASIC design experience to be part of a team that develops the ASIC SoC from Plan of Record (POR) to Production. Creating SoC Level micro architecture definitions, RTL coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies. You will collaborate with members of architecture, software, verification, power, timing, synthesis dft etc. You will face technical tests and develop/define design options for performance, power and area.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Participate in architecture feedback.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan the formal verification strategy and create the properties and constraints for digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
Contribute improvements to methodologies to enhance formal verification results.
Architect and implement reusable formal verification components.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
our company Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to our company products.
Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power closure activities.
Participate in test plan and coverage analysis of the block and SoC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, and Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
our company System Infrastructure builds the cloud for our company services and for our company Cloud customers, by solving business test of performance, cost, and scale, utilizing hardware, software, and system solutions.The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan the verification strategy, identify the platform to validate reasoning components.
Define the test plan and strategy with stakeholders, including sign-off and exit criteria.
Plan and execute the verification of Internet Protocols (IPs) using dynamic verification and formal verification.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power closure activities.
Participate in test plan and coverage analysis of the block and SoC-level verification.
Communicate and work with multi-disciplined and multi-site teams.