לוח משרות דרושים הייטק אבטחת מידע / סייבר בתל אביב יפו, לחיפוש זה נמצאו 236 משרות

Were looking for a highly skilled Junior Offensive Security Researcher to find new attack vectors, from initial exploitation to impact in the emerging world of Agentic AI, LLMs, and their surrounding ecosystem.

This role is ideal for researchers who are passionate about breaking new ground in the growing world of AI and impacting the future landscape of our products.

What Youll Do:

Responsibilities:
Research emerging agentic technologies and uncover new exploits, attack vectors and risks. From initial exploitation to impact.
Build tooling, harnesses, and test frameworks to scale attack discovery and make research repeatable. And contribute to internal red team infrastructure.
Investigate the surrounding ecosystem, not just the model. This includes: plugins, connectors, MCP servers, orchestration frameworks, and different types of infrastructure. Mapping how weaknesses in one component can develop into full compromise.
Work with product and engineering to translate offensive findings into new defense capabilities.

We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.
In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.
Here are a few of the things you'll do:
Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving us toward an AI-first, autonomous fraud detection ecosystem.
AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.
Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.
Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.
Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.

We are seeking an AI Security Researcher to join Dashs core research team. Youll investigate how AI agents - spanning coding agents, SaaS AI platforms, cloud, and endpoints - can be abused, and design detections that stop threats before they cause impact. Each platform is different, yet they share common risk patterns across prompts, tools, MCP servers, skills, hooks, identity, and data movement. Your mission is to master both: uncovering unique attack surfaces while building universal, session- and intent-aware defenses. This role combines deep platform research, responsible security testing, and close collaboration with engineering to translate findings into production runtime protection. You will help define the field of Agentic Security.
Responsibilities:
Research agentic threats: Prompt injection, tool/plugin/MCP abuse, skill and hook misuse, rogue autonomy, identity misuse, data leakage, adversarial AI, and protocol exploitation across coding agents and enterprise AI platforms.
Develop runtime detections: Design detections for multiple environments (coding agents, SaaS AI, cloud, endpoints), leveraging platform hooks, APIs, telemetry, and native guardrails where available.
Analyze platform complexities: Deep-dive into architectures, permissions, workflows, and agent capabilities (MCP servers, Skills, plugins, extensions) while extracting cross-platform risk patterns.
Build scalable detection logic: Prototype and refine heuristics, signatures, and intent-aware detectors that hold up at enterprise scale with low friction for builders.
Investigate monitoring and enforcement boundaries: Push what platforms allow for visibility and control - hooks, plugins, configuration surfaces, inventory signals, and policy enforcement points.
Prototype PoCs: Validate attack paths end to end, then turn findings into production-ready signatures, heuristics, detectors, and runtime policies.
Collaborate with engineering: Embed research into Dashs detection pipelines, session-aware runtime protection, and policy/governance modules.
Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dashs detection and enforcement coverage.

We are seeking an Incident Response Engineer to join the IR team. This technical role focuses on active investigation, threat mitigation, and the continuous improvement of the security organizations posture through detection engineering and automation development.
The successful candidate will be responsible for the full lifecycle of security incidents, from initial triage to recovery. Beyond reactive response, this role involves tuning SIEM correlation rules and developing SOAR workflows to increase operational efficiency.
What Youll Be Doing:
Incident Management: Execute the IR lifecycle (Triage, Containment, Eradication, Recovery) for complex security events.
Technical Investigation: Perform root cause analysis and forensic examination across Windows, Mac, and Linux environments.
Detection & Tuning: Collaborate with the IR team to create, test, and tune SIEM rules and dashboards to reduce false positives and improve visibility.
Automation Engineering: Build and refine SOAR playbooks and automated response actions to streamline repetitive investigation tasks.
Cloud Security: Monitor and mitigate cloud-native threats across Azure, AWS, and GCP environments.

Required Security Operations Team Lead
The Security & Information team is looking for someone who is passionate about technology and has a roll-up-their-sleeves mentality to join our global team. Youll play a crucial role in enhancing our security infrastructure, improving networking, ensuring scalability, and maintaining strong security as we continue to grow. If you want to be an industry leader, on a team experiencing hyper-growth, look no further!
What youll do:
As a SecOps Team Lead, youll be responsible for securing and protecting our infrastructure, including orchestrating and administering various internal autonomous processes and workflows. You will partner with technology team to onboard accessible AI workflows, driving the transition from manual SOC operations to an autonomous, agentic model. Youll also provide security expertise and guidance to the team on various security-related matters and build and own solutions to quickly identify breach attempts, contain and eradicate threats, streamline our security incident response processes, continuously test our controls, and help the business make informed decisions based on threat intelligence. This is a fast-paced environment, where youll have the opportunity to manage multiple projects at once.
Responsibilities:
Lead & Mentor: Manage a team of SecOps analysts, providing technical guidance, career development, and performance management in a fast-paced environment.
Act as the primary escalation point for high-priority security incidents, leading the triage, containment, and post-mortem processes for our production and cloud environments.
Lead SecOps projects from inception to execution, ensuring effective implementation and ongoing maintenance.
Coordinate investigation, containment, and other response activities with business stakeholders and groups.
Perform hands-on forensic investigations, log reviews, cloud investigations, and root-cause analysis
AI-Driven Operational Maturity: Proven track record in orchestrating autonomous workflows (e.g., automated phishing triage, AI-driven anomaly detection).
Develop incident analysis and findings reports for management, including gap identification and recommendations for improvement.
Drive SOC Enablement & Modernization: Partner closely with the technology team to streamline and democratize autonomous AI workflows, leading the teams transition from manual operations to an accessible, agentic SOC.

Required Information Security Engineer
The world of digital assets is accelerating in speed, scale, and complexity, opening new ways to leverage blockchain. Our platform and network provide the simplest and most secure way for companies to work with digital assets, and it is trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more.
Security isnt an afterthought; its the foundation of everything we do.
Making Security Real:
As a Senior Information Security Engineer, youll be on the front lines of protecting the systems, users, and data at scale. This role is about turning strategy, architecture, and intent into enforced controls, effective detections, and resilient operations. Youll work hands-on with the tools, signals, and incidents that define our real security posture.
If you believe security should be practical, measurable, and embedded into daily operations-and not just documented-we want you on the team.
What the Role Looks Like in Practice:
You will be the technical anchor of our internal security posture:
Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation.
The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection.
Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques.
Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective.

Required Director Application Security
About the Role:
As the Director of Product Security, you will spearhead our efforts to fortify and enhance the security posture of our products and runtime environments and play a critical leadership role in overseeing the design, implementation, and maintenance of security controls for the organizations complex product applications, platform, development and cloud infrastructure.
You will lead a team of security experts and collaborate closely with engineering, product, and other business units to ensure the security and integrity of our applications, platforms, cloud infrastructure, and code stack against current & evolving threats.
Your leadership will be instrumental in embedding security best practices throughout the development and operations pipeline, ensuring a secure and scalable product environment. You will also drive the strategy, development, and implementation of a comprehensive application security program across our cloud-based applications.
Reporting line: VP Security Engineering
What Youll Do:
Strategic Leadership and Team Management:
Strong leadership skills to develop and lead the strategic direction for the Application and Cloud Security teams.
Lead risk assessments, threat modeling, and secure design reviews of cloud platforms to proactively identify vulnerabilities and ensure compliance with security standards.
Oversee the design, implementation, and maintenance of security controls across multi-cloud environments (AWS, GCP, Azure) to protect infrastructure and applications.
Experience in collaborating with cross-functional teams, including engineering, product management, and customer support, to embed security into product development and all aspects of cloud deployments.

we are looking for a Senior Web Security Researcher.
As a Senior Web Security Researcher at Nimble, you will spearhead our efforts in the research domain, driving our cutting-edge data gathering solutions. You will work on complex technical challenges at the intersection of browser internals, reverse engineering, and large-scale data gathering. You will analyze and break down advanced client-side protection mechanisms, dive into large and complex codebases such as Chromium, and develop high-performance, cross-platform capabilities that power our products.
This role is both hands-on and research-driven: youll be expected to investigate hard problems, turn insights into solutions, and help push the boundaries of whats possible in web data gathering.
What Youll be Doing:
Reverse-engineer and analyze advanced bot-detection systems, including JavaScript based mechanisms and API interaction flows.
Analyze and modify large-scale browser codebases that empower our products.
Apply a deep understanding of browser internals and architecture to improve stability, performance, and resistance to anti-automation measures.
Collaborate with researchers and developers to integrate findings into production solutions.
Provide technical guidance and mentorship within the research team.

We are looking for a talented Cloud Security Researcher to join our team in Israel. In this role, you will focus on hands-on research of cloud security risks, analyze misconfigurations, and translate findings into impactful product capabilities.
You will work closely with Research, Engineering, and Product teams to ensure that your research directly contributes to securing cloud environments at scale. This is a highly technical role suited for someone who enjoys deep diving into cloud systems, understanding how things work, and helping build solutions that prevent it.

Own ScaleOps' infrastructure end-to-end - our self-hosted product, its installation and onboarding flows, our SaaS platform, and AI infrastructure
Manage ScaleOps' cloud infrastructure across AWS, GCP, and Azure - networking, security, SSO, and compute
Work closely with customers on deployments and troubleshooting
Collaborate closely with backend, product, and R&D teams to support rapid feature delivery without compromising reliability
Identify and eliminate operational toil through automation and tooling improvements
Maintain security and compliance best practices across the infrastructure stack

We're looking for an experienced Software Architect to join and help shape the next generation of our platform. This role is ideal for someone who thrives on designing systems at scale and thinking strategically about performance, reliability, and scalability. As our Architect, you'll work alongside top-tier engineers and leadership to design the core infrastructure of our platform and guide engineering teams through best practices and architectural excellence.

Define and evolve the architecture of our cloud-native platform
Drive technical direction and influence long-term product and infrastructure decisions
Work hands-on with teams to review designs, suggest improvements, and solve deep technical challenges
Collaborate with team leaders and senior engineers to scale the system while keeping it reliable and performant
Lead complex architecture discussions around Kubernetes, Go, microservices, and cloud infrastructure

We're looking for a Researcher who thrives on exploring the technical frontier and translating complex insights into real-world impact. This is a hands-on role, combining deep research with prototyping and cross-team collaboration, with the goal of driving innovation in Kubernetes internals, cloud infrastructure, and performance optimization.

Conduct deep research into Kubernetes internals, scheduling, autoscaling, and container resource usage.
Explore cutting-edge strategies for cloud resource optimization, cost efficiency, and performance engineering.
Design and deliver hands-on POCs, simulations, and benchmarks to validate new approaches.
Work closely with product and engineering teams to translate research findings into features and enhancements.
Stay at the forefront of the cloud-native and FinOps ecosystems, surfacing trends and opportunities.
Contribute to technical blogs, white papers, and internal knowledge sharing.