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לפני 14 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
In this role, you will act as the primary architect of the "nervous system" that bridges the gap between sophisticated AI models and real-world business logic. You will design and maintain the critical infrastructure that enables intelligent, autonomous features to function reliably at scale, moving beyond simple API wrappers to build deeply integrated AI systems. You will take ownership of the entire data flow, where you will develop high-performance RAG (Retrieval-Augmented Generation) pipelines and complex agentic workflows that provide users with accurate, context-aware responses.
Your Impact
Champion system stability by implementing rigorous evaluation and monitoring frameworks, ensuring that as our AI capabilities grow, our production environment remains fast, cost-effective, and secure.
Ultimately, you will be the technical force that transforms cutting-edge AI research into stable, scalable products that define the future of our platform.
Requirements:
Your Experience:
Keeps up with the latest research and stays on top of the fast-moving AI space, with a real passion for whats happening in Generative AI.
Regularly tries out different AI tools and sees how theyre useful in everyday work and life.
Strong understanding of advanced prompting techniques like Chain-of-Thought, ReAct, and few-shot prompting.
Experience working on model quantization or finding ways to optimize inference costs and token usage at scale.
Hands-on experience with Python (FastAPI, Django, or Flask) or Go, with a solid grasp of async programming and microservices.
Experience turning a vague product idea (e.g., "let's add a smart assistant") into clear, concrete technical requirements.
Nice to have:
Hands-on experience using frameworks like LangChain to build more complex LLM flows and agents.
Experience working with vector databases.
Comfortable building and using RESTful and GraphQL APIs, especially when dealing with low-latency streaming (WebSockets, Server-Sent Events).
Enjoys digging into non-deterministic systems - when an LLM fails, comfortable figuring out whether its the prompt, the retrieval, or the data.
Familiar with AI-specific security risks, like prompt injection and data leakage.
This position is open to all candidates.
 
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
Your career
In this role, you will act as the primary architect of the "nervous system" that bridges the gap between sophisticated AI models and real-world business logic. You will design and maintain the critical infrastructure that enables intelligent, autonomous features to function reliably at scale, moving beyond simple API wrappers to build deeply integrated AI systems. You will take ownership of the entire data flow, where you will develop high-performance RAG (Retrieval-Augmented Generation) pipelines and complex agentic workflows that provide users with accurate, context-aware responses.
Your Impact
Champion system stability by implementing rigorous evaluation and monitoring frameworks, ensuring that as our AI capabilities grow, our production environment remains fast, cost-effective, and secure.
Ultimately, you will be the technical force that transforms cutting-edge AI research into stable, scalable products that define the future of our platform.
Requirements:
Your Experience:
Keeps up with the latest research and stays on top of the fast-moving AI space, with a real passion for whats happening in Generative AI.
Regularly tries out different AI tools and sees how theyre useful in everyday work and life.
Strong understanding of advanced prompting techniques like Chain-of-Thought, ReAct, and few-shot prompting.
Experience working on model quantization or finding ways to optimize inference costs and token usage at scale.
Hands-on experience with Python (FastAPI, Django, or Flask) or Go, with a solid grasp of async programming and microservices.
Experience turning a vague product idea (e.g., "let's add a smart assistant") into clear, concrete technical requirements.
Nice to have:
Hands-on experience using frameworks like LangChain to build more complex LLM flows and agents.
Experience working with vector databases.
Comfortable building and using RESTful and GraphQL APIs, especially when dealing with low-latency streaming (WebSockets, Server-Sent Events).
Enjoys digging into non-deterministic systems - when an LLM fails, comfortable figuring out whether its the prompt, the retrieval, or the data.
Familiar with AI-specific security risks, like prompt injection and data leakage.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior AI Engineer in the global CTO group, you will play a central role in building the next generation of AI-powered security capabilities across our product portfolio. This role is focused on rapid prototyping, experimentation, and innovation, turning emerging ideas into working product features that can scale across multiple products and technology stacks.

You will design and build AI-driven systems end-to-end, from agent-based workflows and model integrations to backend services, data pipelines, and product-facing capabilities. You will work closely with product, engineering, and research teams across the company to explore new use cases, validate ideas quickly, and bring impactful AI features into production.

This role is ideal for an experienced AI engineer who enjoys moving fast, working across boundaries, and building real production systems, not just experiments. Your work will directly influence how AI is embedded across our platforms and how customers experience secure AI at enterprise scale.
Requirements:
What You Will Need:
8 or more years of professional experience in software engineering, with significant hands-on experience in AI engineering or applied machine learning.
Strong expertise in building AI-powered systems, including LLM-based applications, agents, and orchestration workflows.
Proven experience integrating and operating AI and ML models in production environments.
Proficiency in multiple programming languages, including Python and at least one of the following: .NET, Go, or similar backend languages.
Experience working across diverse technology stacks and product architectures.
Solid understanding of backend system design, APIs, and distributed systems.
Strong experience with databases, including data modeling, performance considerations, and working with both relational and non-relational systems.
Practical experience with DevOps practices, including CI/CD pipelines, containerization, and cloud-based deployment.
Comfort working in cloud environments and modern infrastructure platforms.
Ability to rapidly prototype, iterate, and evolve ideas into production-ready features.
Strong ownership mindset, curiosity, and ability to collaborate across teams.

Nice to Have:
Experience designing and building AI agents for real-world workflows.
Hands-on experience training, fine-tuning, or evaluating machine learning models.
Familiarity with MLOps practices and model lifecycle management.
Experience working in security, cloud platforms, or large-scale SaaS products.
Ability to communicate complex AI concepts clearly to both technical and non-technical audiences.
This position is open to all candidates.
 
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01/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.
Requirements:
7+ years in a senior technical leadership role (e.g., Principal Architect, Staff/Lead Engineer). Demonstrated experience leading architecture in fast-moving environments, with a strong track record as a hands-on builder delivering production systems.
Proven experience architecting and operating large-scale, distributed, and data-intensive systems, with the ability to reason across end-to-end system flows, dependencies, and trade-offs. Experience in SaaS or cybersecurity domains is a strong advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments. Ability to design for scale while maintaining simplicity, efficiency, and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing, including systems that handle large-scale, real-time data workloads.
Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments.
Hands-on experience integrating GenAI capabilities into production systems, including RAG pipelines, agentic workflows, or LLM-based integrations.
Solid understanding of secure system design, cloud security principles, and enterprise compliance frameworks, with the ability to incorporate security into architectural decisions.
This position is open to all candidates.
 
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לפני 13 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards: While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents: Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.
Requirements:
Your Experience
Backend Engineering: 5+ years of experience building and maintaining production-grade distributed systems.
Languages: Proficiency in Go (Golang) is a strong advantage. We are open to engineers with deep expertise in other backend languages (Java, Python, Rust, C#, or Node.js) who are willing to transition to a Go-primary stack and have a focus on clean, well-tested code.
Fundamentals: Strong grasp of system design, data structures, and algorithms in high-scale cloud environments.
Standards: Experience with CI/CD, comprehensive testing (unit, integration, E2E), and rigorous code reviews.
Cloud: Proficiency in AWS, GCP, or Azure, including cloud-native services.
Reliability: Experience with observability (monitoring, logging, tracing) and system profiling.
Education: B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent technical/military experience.
Advantages
Advanced Go: Deep experience with concurrency and memory management patterns.
Distributed SaaS: Background in managing multi-tenant, cloud-based SaaS at scale.
Cybersecurity: Familiarity with threat detection or cloud security infrastructure.
AI Systems: Interest in agentic workflows or prompt engineering in production.
This position is open to all candidates.
 
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Principal Software Engineer, you will be a technical trailblazer responsible for the architecture and evolution of our automation ecosystems. This role requires a visionary who can bridge the gap between emerging LLM research and production-grade reliability. You will define the technical foundations that enable autonomous security workflows, ensuring our platform is forward-compatible with the rapidly evolving Agentic AI landscape.
Your Impact
Architectural Leadership: Define and own the technical vision for the Cortex Platforms automation foundations and Agentic AI integrations.
System Design for Autonomy: Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution.
Advanced Problem Solving: Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism.
Scalable Engineering Standards: Define global technical standards for the platforms automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants.
Technical Alignment: Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features.
Strategic Reliability: Drive step-function improvements in system reliability and quality, establishing a technical roadmap that anticipates the next generation of Agentic Response.
Requirements:
Your Experience
8+ years of experience as a software engineer.
Deep understanding of prompting and context management.
Hands-on experience building and running LLM-based systems in production.
Experience defining system architectural vision end-to-end.
Capability to define scalable data-driven standards.
Strong Python skills, with working knowledge of Go.
Experience with end-to-end codebase ownership, including CI/CD, testing, and releases.
Familiarity with security and automationworkflows, APIs, integrations, and building automated responses.
This position is open to all candidates.
 
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7 ימים
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.
Requirements:
What we need to see:

B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

3+ years of relevant industry or research experience.

Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems.

Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack.

Shown ability to translate research findings and product requirements into clear software and hardware specifications.

Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced programming skills for performance modeling, data analysis, and prototyping.

Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently.


Ways to Stand Out from the crowd:

Experience with distributed training, distributed inference, or large-scale AI serving systems.

Experience in Agentic programming, and AI tools.

Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks.
This position is open to all candidates.
 
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4 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.

Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.

Optimize model performance, inference time, and cost efficiency within AWS infrastructure.
Requirements:
Requirements:

7+ years of hands-on experience in software engineering, with at least 1-2 years working on generative AI projects (LLMs, diffusion models, multimodal models, etc.).

Proven ability to go from idea to production-ideally with examples of real-world AI features youve shipped.

Fluency in Python, Node.js, or similar languages used in ML and full-stack development.

Experience with prompt engineering, fine-tuning, or embedding models using frameworks like LangChain, LlamaIndex, or similar.

Familiarity with AWS services and best practices, including Lambda, S3, SageMaker, ECS/EKS, Bedrock etc.

Experience with MLOps and model deployment practices (e.g., containerization, GPU inference, vector databases).

Creativity and initiative-able to pitch and prototype ideas with minimal oversight.

Strong communication skills and the ability to explain technical concepts to non-technical stakeholders.


Nice-to-Haves:

Prior experience integrating generative AI in FinOps or cloud cost optimization tools.

Background in NLP, computer vision, or other relevant ML fields.

Contributions to open-source AI tools or research.

Knowledge of responsible AI principles and handling model risks.
This position is open to all candidates.
 
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.
Requirements:
5+/ 8+/10+ years of software engineering experiencewith a proven track record of delivering robust, high-scale distributed systems.
Server-Side Mastery:Deep expertise in systems-level programming and modern backend languages (e.g.,Go, Python) with a focus on building scalable server-side infrastructure.
Cloud Native Foundations:Extensive experience designing, deploying, and operating large-scale architectures onGCP, AWS, or Azure, including strong knowledge ofKubernetes,Docker and Helm.
Bidirectional Data Flow:Proven ability to architect systems that handle high-concurrency data ingestion and wide-scale datadistribution/broadcasting.
Systemic Problem Solving:Demonstrated experience in profiling, debugging, and optimizing complex distributed systems to eliminate performance bottlenecks.
Influence & Communication:Exceptional ability to communicate complex technical concepts to both highly technical peers and non-technical stakeholders.
Preferred Qualifications
Data Platform Expertise:Familiarity with architecting solutions using large-scale data platforms such asBigQuery, MongoDB, and MySQL.
High-Performance Caching:Hands-on experience with in-memory data stores and acceleration technologies likeRedis, Dragonfly, or similar high-throughput caching layers.
Event-Driven Architecture:Deep understanding ofEvent-Driven systemsand asynchronous messaging patterns to ensure decoupled and scalable service interactions.
Modern Tooling:Experience leveragingAI-assisted development tools(Gemini, Claude) to optimize the SDLC and automate complex testing/generation tasks.
Advanced Degree:B.Sc., M.Sc., or Ph.D.
This position is open to all candidates.
 
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25/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Full Stack Engineer who enjoys building end-to-end systems in fast-moving environments. Youll work across backend services, frontend applications, and AI-integrated workflows to shape the foundation of our companys AI-powered platform.
The AI Application Foundation team is responsible for the core platform powering our companys next-generation AI applications and agentic systems. We build the infrastructure, developer tooling, orchestration layers, and user-facing experiences that transform advanced AI capabilities into production-grade cybersecurity products.
If you enjoy owning features from architecture to production, care deeply about developer and user experience, and want to work on meaningful AI infrastructure at scale- this role is for you.
Responsibilities
Design and build full-stack applications powering AI-driven cybersecurity workflows
Develop scalable backend services, APIs, and orchestration layers for applications and agent systems
Build intuitive frontend experiences for complex workflows, data exploration, and operational tooling
Collaborate with AI and platform engineers to integrate LLMs, retrieval systems, and agent capabilities into production applications
Own features end-to-end, from technical design and implementation to deployment, monitoring, and ongoing improvement
Improve platform reliability, observability, and performance across frontend and backend systems
Contribute to engineering standards, architecture reviews, testing practices, and CI/CD workflows
Work closely with Product and Design teams to rapidly iterate on new AI product experiences.
Requirements:
5+ years of experience as a Full Stack Engineer in production environments
Strong backend development experience with Python, Node.js, Go, or similar modern backend technologies
Familiar with frontend experience with React, TypeScript, and modern frontend frameworks
Experience designing and consuming REST APIs, event-driven systems, and distributed services
Solid understanding of cloud-native architectures and scalable web applications
Experience working with or integrating AI systems, LLMs, or agent-based architectures.
Strong product mindset and ability to work closely with cross-functional teams
Excellent debugging, problem-solving, and communication skills
Nice to Have
Experience with agent orchestration, context management, or retrieval-augmented architectures
Experience with Kubernetes, Docker, Terraform, or modern DevOps practices
Background in cybersecurity, data-intensive systems, or highly regulated environments.
This position is open to all candidates.
 
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לפני 21 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.
Requirements:
8+ years in security research, threat research, or closely related fields (offensive security, detection engineering, incident response, cloud security engineering). Fewer years are fine if your depth and track record are exceptional.
Deep multi-cloud expertise - strong hands-on experience across at least two of the major cloud providers (AWS, Azure, GCP), with working knowledge of the third. You understand the IAM models, logging pipelines, APIs, and attack surfaces that matter in each.
A track record of original research - you've published meaningful technical findings through blog posts, conference talks, open-source tools, or vulnerability discoveries that moved the needle. We want someone who doesn't just consume research - you produce it.
Strong adversarial mindset and critical thinking - you think like an attacker targeting cloud infrastructure, SaaS platforms, identity systems, and Kubernetes. You can model threat scenarios, map out attack paths, and poke holes in defenses.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8712545
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