דרושים » בוגרי יחידות טכנולוגיות/אקדמיה » Network Research Team Leader

Check Point is looking for an outstanding Senior Cloud Developer in the ThreatCloud group.

The group is responsible for building the worlds largest and most advanced Threat Prevention cloud platform called Threat Cloud - a global platform that inspects data from hundreds of millions of sources from hundreds of thousands of customers in real time, preventing threats and sharing threat intelligence.

In this position you will join a strong team of developers and will be in charge of researching and building the next generation of detection engines such as anti-phishing and web security using AI and Machine Learning, you will build an infrastructure to deliver these and other capabilities to all Check Point Products based on cutting edge cloud services and serve Billions of requests per day.

You will develop new products and capabilities in an agile manner, directly contributing to Check Points business plans and to the world's cyber security.

The group is tasked with tackling some of the worlds biggest technical and cyber security challenges, protecting the world from Malware, Phishing, Supply Chain attacks, and other advanced threats in an ever changing landscape where threat actors and adversaries do their best to avoid detection.

You will join a top-notch team of experienced software engineers and cyber security experts, and will own the development of end to end features from design to production using cutting edge cloud technologies, and do so in a dynamic and fast-paced environment.

Come join a team of motivated, fun, creative minds united in delivering innovative new technology and cyber security against the ever-changing threat landscape!!!

Key Responsibilities
Develop end to end features and cloud services in an Internet scale environment with the latest cloud technologies and methodologies.
Research & develop security engines utilizing big data, heuristics and machine learning.
Own your work end to end, from research through design to production.
Be part of a development team, collaborate with your peers and contribute ideas and knowledge.
Work together with product managers, security researchers and other product stakeholders to define requirements and support our customers.

Were looking for a Cyber & Data Analyst with a hackers curiosity and a data scientists precision, ready to craft high-fidelity detections and AI-powered insights. Youll be diving into huge log datasets in Azure (ADX), designing custom detection algorithms, and experimenting with advanced statistical models and AI techniques to detect hidden patterns and anomalies. This is a hands-on, impact-driven role where cyber expertise meets big data.

Key Responsibilities
Research, design, and deploy next-gen XDR and NDR detection rules across massive cybersecurity log datasets.
Hunt for unknown threats by analyzing attacker TTPs, malware behaviors, and building proactive detections.
Dive into large-scale data lakes to uncover anomalies, trends, and new detection opportunities, turning raw data into actionable algorithms.
Collaborate with cross-functional teams to build content-driven security features that raise the bar for detection quality.
Experiment with new AI models and advanced analytics to shape the future of cyber detection.

Come and be part of a new and dynamic team, focusing on emerging threats against organizational -enterprise environments. Theres an opportunity joining a new team focusing on disrupting nation state and stealthy attacks, across all the Microsoft Defenders stack products, this role is currently focusing one of the flagships of the Defender stack - Microsoft Defender for Endpoint. Join the elite team powering Microsoft Defender's most groundbreaking autonomous protection system: Automatic Attack Disruption. As cyber threats evolve in sophistication, our team leads the charge in detecting, investigating, and automatically disrupting stealthy attacks conducted by various threat groups from nation states to sophisticated cyber criminals. We're looking for a passionate security researcher ready to make a real-world impact by protecting global enterprises from advanced and sophisticated attacks. As part of our Israeli research team, you'll hunt through diverse signals across on-premises, hybrid and cloud environments, uncovering advanced threats, research emerging attack techniques, design next-generation protection systems, and develop detection logic that ensures no compromise goes unnoticed. This is your chance to stay steps ahead of advanced adversaries while building autonomous defense capabilities that protect organizations worldwide. The job includes ideation to customer facing detection, researching novel attack techniques, hunting through our rich sensor data, identifying necessary optics for detecting malicious behaviour and crafting detection and protection logic to ensure compromise does not go undetected. Our team values diversity and strives to hire individuals with varied experiences and perspectives. We understand that no candidate possesses every desired skill and experience, but together, we form a strong, effective team. Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Conduct in-depth research to develop detection mechanisms for novel and advanced offensive techniques from exploits to implants.

Lead end-to-end implementation efforts: from offensive proof-of-concept (PoC) to scalable, deployable detection logic across agent and cloud platforms.

Focus on low-level Windows Internalsbased detections, with the opportunity to expand into additional high-impact attacker surfaces.

Proactively hunt across diverse signal sources including on-premises, hybrid, and cloud environments to uncover stealthy threats and emerging attack techniques.

Stay current with the latest cyberattack trends and design robust, sophisticated detection logic across the full attacker kill-chain.

Build and implement innovative automated disruption capabilities that autonomously detect and mitigate attacks in real time.

Investigate real-world incidents to improve protection strategies and enhance the Microsoft Defender for Endpoint (MDE) product.

Collaborate with engineering and product teams to design security sensors, validate protection ideas, and measure effectiveness using data-driven approaches.

Engage with customers to identify product gaps, share insights, and enhance protection coverage based on real-world needs.

Contribute to the broader security community by authoring technical blogs, sharing research findings, and presenting at leading security conferences.

Are you an insatiably curious, deeply passionate and hands-on technologist? Are you at your best when working with engineers, architects and technology leaders on fun and hugely impactful technical challenges? If so, we invite you to join our team as a Cloud & AI Solution Engineer for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.

We will be opening several new roles, and candidates should have expertise in one or more of the following areas:



Cloud Infrastructure including Cloud Migration & Modernization
Data and Analytics
AI Applications
Software, Development Tools & AI

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture & technical workshopsto accelerate adoption of Microsofts developer tools and cloud platforms.
Build trusted relationships with developers and platform leads as well as AI decision makers to co-design secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in one of the following:
Software Solutions Engineer: GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices)
Data Solution Engineer: Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL, Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
Infrastructure Solution Engineer: Cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance. Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).
AI Applications Solution Engineer: AI Foundry & App architecture (Agentic AI framework, TensorFlow, Pytorch, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven). Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft in customer forums and technical communities through thought leadership.

Google'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 Googles 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.

In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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.
As a CPU Workload Analysis Researcher within Google Cloud's MSCA organization, you will be integral to developing silicon solutions powering Google's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the Google Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of Google users and Cloud customers.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Plan and execute detailed analysis of CPU workloads within the Google Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on Google Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

As a Security Infra Engineer, youll design, build, and manage security aspects of our cloud-based and physical environments to ensure compliance and integrity. In your day-to-day, you will:

Design, implement, and maintain platforms for investigating and analyzing security incidents, performing root cause analysis, and coordinating remediation efforts

Design, implement, and maintain security tools and controls for cloud-based infrastructure, Kubernetes clusters, and services, ensuring compliance with industry standards

Build tools and scripts using Golang, Python, or Node.js

Collaborate with all infrastructure groups (cloud, networking, DB, DevEx, etc.) and the Chief Information Security Officer group (for example, for incident response)

Align with other infrastructure standards, including efficiency, reliability, and cost

Work closely with cross-functional teams to design, implement, maintain, and manage security solutions that ensure the integrity and confidentiality of our systems

Were looking for a hands-on incident response expert thats passionate about investigating real threats, building scalable detections, and improving automation across modern cloud-native environments. This is a high-impact role within our security group, ideal for someone who thrives on both investigation and building long-term solutions. In your day-to-day, youll:

Investigate complex security incidents in cloud (AWS/GCP), containerized (Kubernetes), and endpoint environments

Design and maintain detection rules and anomaly-based logic to identify emerging threats in production systems

Automate forensic evidence collection and response actions across diverse platforms and services

Collaborate with SOC analysts, Security Architects, and Engineering teams to improve detection coverage and data visibility

Lead incident retrospectives and document technical findings, response steps, and process improvements

Develop and maintain investigation playbooks, chain-of-custody protocols, and sprint-based IR deliverables

Participate in on-call rotations and contribute to incident readiness exercises and escalation protocols

At Check Point, security is a strategic priority that underpins our operations and growth. You will be part of a team dedicated to enhancing SaaS Security, strengthening controls across cloud-based platforms, and proactively managing risk. We provide a professional, security-focused environment where your work will directly influence the protection of our data, systems, and users. If youre eager to move fast, make a wide impact, and are the kind of person who gets the job done no matter what were looking for you.

Key Responsibilities
Design and implement security controls across SaaS platforms (e.g., Salesforce, Google Workspace, Microsoft 365, Atlassian, etc.).
Perform security assessments of SaaS integrations and third-party vendors.
Monitor and respond to security alerts and incidents related to SaaS environments.
Drive the development and implementation of IAM (Identity and Access Management) best practices.
Develop and implement proactive monitoring and alerting strategies for SaaS applications.
Conduct threat modeling, risk assessments, and security reviews of new features or integrations.
Stay current with SaaS security trends, vulnerabilities, and best practices.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google 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.