דרושים » אבטחת מידע וסייבר » Sr. Engineer - Cloud, Agentless Scanning Team (Hybrid, ISR)

Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.

Join us in expanding security platform, where innovation meets impact.

What Youll Do:

Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments

Design and implement distributed systems that process massive volumes of security data with high reliability and low latency

Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads

Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love

Own features end-to-end - from design and implementation through deployment, monitoring, and iteration

Drive technical excellence through code reviews, architectural discussions, and mentoring team members

Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale

As a senior researcher and tech lead on the team, you will play a pivotal role in conducting security research while mentoring and guiding fellow researchers to scale our capabilities. Beyond your individual contributions, you'll help establish research methodologies, foster collaboration, and build a culture of technical excellence within our growing team.

This role provides a unique opportunity to join a team with strategic importance for protecting our customers from emerging threats and novel attack methodologies in cloud environments. You will get to work with vast datasets, have a direct impact on the efficacy and evolution of our detections, and play a decisive role in the strategic direction of our product development. Your contributions will enable continuous improvement of cloud detection capabilities while helping develop the next generation of security researchers.

What You'll Do
Initiate and conduct Cloud Research Initiatives: Follow the threat landscape to identify trends in the realm of cloud infrastructure security, threat actors, novel attack approaches, and vulnerabilities in cloud-based and/or cloud-native environments and workloads.

Research threats and vulnerabilities in cloud provider infrastructure and containerized applications and workloads.

Develop advanced cloud security models: Create sophisticated models and frameworks for identifying and mitigating new types of cloud threats, focusing on predictive analytics and proactive threat hunting methodologies.

Lead and mentor research efforts: Guide fellow researchers in technical decision-making, establish research best practices and methodologies, and foster knowledge sharing within the team to build collective expertise.

Collaborate with cross-functional teams: Work closely with various teams, including engineering, product management, detection engineering, and threat intelligence to drive cloud detections in the Falcon platform.

Coordinate research initiatives: Lead technical discussions, prioritize research objectives within your area of responsibility, and ensure alignment with broader team goals and product roadmap.

Were seeking a Security Lead to join our team. This role is ideal for someone who can shape security foundations from the ground up. Youll solely build, lead and scale our security program across product, infrastructure and internal operations. This is a hands-on leadership role in which you will define our security strategy, drive execution, take ownership of maintaining security within our cloud environment and ensure that our customers, partners and employees can trust our platform and data handling.

Responsibilities

Embed secure-by-design and secure-by-default practices into the SDLC, partnering with engineering on threat modeling, secure code reviews, SAST/DAST, vulnerability management, and integrating practical, developer-first security solutions directly into development workflows.
Manage hands-on application and cloud security execution, reviewing code, hardening services, improving AWS/GCP configurations, IAM, networking, and secrets management, building cloud posture management, and integrating security into CI/CD, containers, and infrastructure-as-code.
Drive LLM and GenAI security innovation, implementing guardrails, prompt injection protections, MCP authorizations, and AI-specific security controls to ensure resilient and safe AI-powered systems.
Own incident response and security operations end-to-end, including preparation, detection, mitigation, root-cause analysis, remediation, communications, and developing internal standards, playbooks, and automation to scale the function from scratch.
Lead privacy, data lifecycle, and compliance initiatives, owning SOC 2, ISO 27001, GDPR, and regulatory readiness, while representing security in customer and partner discussions and translating technical controls into business assurance.

Were looking for a Senior Security Platform Engineer to join our team and work at the intersection of Security technology, and business. This role is about impact - not just ownership, not just execution, but building solutions that actually get used.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
Your impact and responsibilities:
Support, maintain, and operate network, data, and AI security controls across our company production environments, and continuously improve protection, detection, and response capabilities.
Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
Secure sensitive data and databases by enforcing encryption, permissions, and access governance, auditing, and monitoring to prevent data leakage and misuse.
Identify security risks related to AI systems, data pipelines, and inference services, and help define controls to protect models, training data, and AI-driven workflows.
Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, and translate them into actionable security controls and detections.
Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing

Lead and grow the team in charge of researching and developing Autopilot, an innovative product for graph-based fully-autonomous investigation and response (Over the Cortex platform).
As the manager of the Autopilot team, you'll lead a team of security researchers, set the project's technical vision and standards, and own its success.
You will lead an innovative team on the research, design, and development of a new graph-oriented security product. Creating investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
You'll work closely with other development and product teams to turn a successful POC into a full-fledged product, staying agile in a dynamic environment and using data-driven empirical research to determine and drive the project in the best direction.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Lead and developa team of security researchers, providing mentorship, guidance, and continuous feedback to help them grow their careers (Manage the team, develop the people).
Drive the research strategy and executionfor new autonomous methods for investigating and responding to targeted attackers, leveraging large-scale XDR data and graph-based algorithms.
Ensure collaboration with engineering, product, and other research teams, acting as a key interface to push the project forward and align on cross-functional goals.
Direct the team's work on deep, hands-on investigations of real incidents to reinforce the best investigation and response approach, leveraging a combination of os-internals, TTPs, semi-labeled data, and large-scale statistical methods.
Foster a disruptive environment that innovates using advanced techniques such as graph algorithms, machine learning, and LLM agents to mimic and scale human security analyst workflows.

We are looking for an experienced Security Operations Engineer to join our fast-growing security team and take ownership of our SIEM and SOAR automation efforts. This is a unique opportunity to work at the intersection of security operations, detection engineering, and automation in a modern SaaS and cloud-native environment.


What Will You Do?
Maintain and enhance detection engineering content across SIEM and automation systems
Develop new SOAR workflows, automated actions, and response playbooks
Build and improve SIEM rules, correlations, dashboards, and monitoring capabilities
Lead investigations and identify security issues through alert analysis and mitigation
Coordinate incident response activities and communicate clearly with relevant stakeholders
Provide consultative guidance on best practices in Cloud Security, SIEM, and automation operations
Collaborate closely with internal teams to understand monitoring needs and deliver new insights
Follow CISO guidance to continuously improve the organizations security posture
Design, document, and scale security automation capabilities
Review new product features, implement security standards, and share knowledge across the team

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

Were looking for a Senior Security Researcher to drive high-impact research across cloud, runtime, and application environments, and translate it into product-grade detections. This is a hands-on role for someone who can lead investigations end-to-end: from understanding attacker tradecraft and vulnerabilities, through building reliable detection logic, to influencing product direction.
On a typical day youll:
Lead deep-dive research into real-world attacks, vulnerabilities, and emerging cloud and runtime techniques
Own complex investigations (DFIR, threat hunting, root-cause analysis) and convert learnings into durable detections
Design and implement advanced detection logic and analytics across cloud assets, containers, Kubernetes, and Linux runtime telemetry
Build prototypes and production-ready components that improve detection accuracy, fidelity, and coverage
Partner closely with engineering and product to shape roadmap priorities and guide implementation details
Develop research methodologies, testing frameworks, and validation processes for new detections
Mentor and level up other researchers and engineers through reviews, knowledge sharing, and technical guidance
Represent the team externally through publications, technical blogs, and conference talks.

Were a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practical - no overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, youll fit right in.
On your day to day:
As a dedicated Platform Security Engineer, you will bridge the gap between code and infrastructure to build a fortress around our creators' content. Youll spend your time defining and implementing high-level security processes while rolling up your sleeves to fix vulnerabilities alongside our DevOps team. From architecting DSPM strategies for massive distributed video data to hardening our SDLC, you will be the ultimate owner of our security posture. You wont just be monitoring dashboards; youll be collaborating directly with developers to ensure security is a fundamental part of our engineering.