As a SecOps Lead , you will own the core of the security operations function: detection, response, automation, and the processes that connect them. You will guide incident response from first alert through post-mortem, keeping efforts structured and stakeholders informed along the way. You will shape how the team detects, triages, and resolves, and communicate that work clearly to leadership, engineering, and customers.

This is a hands-on role with broad ownership. You should be comfortable writing a detection rule, coordinating a live incident, and walking stakeholders through a post-incident review.

Key Responsibilities

Lead Incident Response: Own the end-to-end incident response lifecycle across infrastructure and enterprise browser platform, driving investigations, coordinating responders, and ensuring timely resolution and post-incident improvements.
Own the IR Framework: Build, maintain, and continuously improve incident response processes, including runbooks, severity definitions, escalation paths, on-call procedures, and communication standards.
Drive Detection Engineering: Design, implement, and continuously improve high-fidelity detections across SIEM, EDR, cloud, and endpoint security platforms, closing visibility gaps and strengthening detection coverage.
Automate Security Operations: Build automation and AI-driven workflows that streamline triage, investigation, enrichment, and response, reducing manual effort and improving operational efficiency.
Threat Hunting & Research: Proactively hunt for threats, leverage threat intelligence, and identify emerging attack techniques relevant to modern enterprise environments.
Own Security Operations: Serve as the technical owner for Security Operations within Product Security, driving strategy, setting best practices, and continuously improving detection and response capabilities.
Partner Across Engineering: Collaborate closely with Engineering, IT, Infrastructure, and Compliance teams to embed security into new services, infrastructure changes, FedRAMP initiatives, and customer-facing security requirements.
Communicate During Incidents: Provide clear, timely communication throughout incident response, keeping technical teams, leadership, and stakeholders aligned on impact, progress, risks, and next steps.

As a Security Operations Engineer , you will be a core member of the SecOps team, owning incident detection, triage, and response across infrastructure and enterprise browser platform. You will work closely with the SecOps Lead to mature our IR capabilities, build the automation and tooling that power our operational workflows, and help keep and its customers ahead of real-world threats.

This is a hands-on, build-and-operate role - ideal for someone who is equally comfortable writing a detection rule, investigating a live incident, and shipping a Torq workflow before end of day.

Key Responsibilities

Incident Response: Lead and participate in the full incident lifecycle - detection, triage, investigation, containment, and post-mortem. Own runbooks and ensure they reflect current threat landscape and tooling.
Detection Engineering: Develop, tune, and maintain detection rules across SIEM, EDR, and security audits. Minimize false positives; maximize signal value.
Security Automation: Build and improve automated response workflows using platforms like Torq; reduce manual toil on alert triage, enrichment, and escalation paths.
Threat Monitoring & Hunting: Continuously monitor the environment for anomalies and indicators of compromise; proactively hunt for threats aligned to our threat model.
Cloud Security Operations: Investigate and triage findings from cloud-native security tooling (Wiz, AWS CloudTrail); collaborate with engineering teams on remediation of infrastructure-level issues.
Tooling & Integrations: Contribute to the ongoing development of the SecOps toolchain - integrating alert sources, building dashboards, and improving the Jira-based alert center.IR Documentation: Maintain incident.io flows, response playbooks, and post-incident reports; contribute to the team's runbook hub.

We are looking for a skilled Security Automation Engineer to join our SOC Automation team and play a key role in building and scaling automation across Security Operations. This is a hands-on role - you will design, develop, and integrate automation solutions across SIEM, EDR, and other security platforms, contributing to our SOAR capabilities from the ground up.

You will work in a technologically rich environment, integrating with a wide range of security and infrastructure systems across the network - a unique opportunity to build automation at scale in a greenfield setting, with real influence over the architecture and tooling decisions.

We are especially interested in candidates who are curious about leveraging AI and intelligent agents to help evolve next-generation automation and response workflows - and who want to be a driving voice in how we apply those technologies.

Your responsibilities will include:

Automation development

Design and develop automation workflows for incident response and SOC operations
Identify and eliminate manual processes through scalable automation
Build reusable components and maintainable automation patterns
Engineering & integration

Develop integrations using REST APIs, webhooks, and event-driven architectures
Write high-quality, maintainable Python for automation and orchestration
Implement data parsing, enrichment, and transformation across multiple systems
SOAR & platform buildout

Lead or actively contribute to the evaluation, selection, and implementation of SOAR/automation platforms
Design the automation architecture and integration strategy for the team
Build automation capabilities in a greenfield environment - your decisions will shape the foundation
SOC collaboration

Work closely with SOC analysts and incident responders to translate operational needs into automation solutions
Improve end-to-end detection and response workflows through close partnership with the team
AI & innovation

Actively build and evaluate AI/LLM and agent-based workflows applied to security automation
Prototype AI-assisted enrichment, triage, and response solutions and drive them toward production

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.

We are seeking an experienced Data Protection Lead to join the Cyber Security organization.

This role combines hands-on Data Leakage Prevention (DLP) engineering with Data Security Posture Management (DSPM) to deliver end-to-end data protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them.

You will own the data protection lifecycle from discovery and classification through policy enforcement and incident response. The role requires deep technical proficiency in DLP platforms and DSPM tooling, combined with the ability to collaborate with Security, IT, Engineering, Product, Privacy and GRC teams to reduce data exposure risks and embed strong data governance practices.

Your responsibilities will include:
Lead and own the organizations data protection domain, including strategy, standards, and hands-on technical implementation
Engineer, deploy, and continuously tune DLP policies across endpoints, email, SaaS, network proxies, and cloud platforms - covering both inline and API-based enforcement modes.
Design and implement DSPM solutions to gain continuous visibility into sensitive data posture, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments.
Drive data discovery initiatives to identify and inventory sensitive data across databases, SaaS applications, endpoints, and cloud storage.
Define and implement data classification frameworks, labeling standards, and data handling policies integrated with DLP and DSPM controls.
Build and maintain DLP detection rules, regular expressions, fingerprinting, and machine learning-based classifiers to minimize false positives and maximize coverage.
Integrate DSPM findings into DLP enforcement workflows to create a closed-loop data protection architecture.
Define and enforce data access governance, including least-privilege principles and monitoring of sensitive data access patterns.
Monitor, triage, and investigate DLP alerts and DSPM-identified risks, collaborating with SOC and Security teams on escalation and remediation.
Conduct risk assessments and identify gaps in data protection controls across systems, pipelines, and business processes.
Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to data security and privacy.
Collaborate with Engineering, IT, Product, and GRC teams to embed data security controls into CI/CD pipelines, systems, and workflows.
Maintain documentation, runbooks, and guidelines for DLP operations, DSPM posture management, and data security practices.

we are looking for a Lead Detection Engineer .This is an individual contributor role with full technical ownership. You'll set the direction for detection engineering: the standards, the tooling, the coverage strategy, and the automation that operationalizes it all. You'll work closely with SOC analysts and Platform Engineering to make detection a first-class engineering discipline.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Detection coverage strategy across endpoint, identity, cloud, and infrastructure - how it's measured, prioritized, and continuously improved.
Detection-as-Code pipeline: version control, testing, peer review, CI/CD, and deployment practices for all detection logic.
Architecture connecting detections to enrichment, triage, and automated response workflows.
Technical standards for how detections are designed, tested, documented, deployed, and retired.
Detection quality: fidelity metrics, false positive reduction, coverage measurement, and continuous validation loops.
Design and build high-fidelity behavioral detections across SIEM and EDR platforms.
Research emerging attacker techniques and translate threat intelligence into scalable, evasion-resistant detections.
Validate detections through threat simulations and continuous detection testing.
Partner with SOC analysts to close the feedback loop between detections and real investigations.
Define and track detection engineering metrics; communicate coverage posture and effectiveness to security leadership.
Make architectural decisions that scale as the team and organization grow.

We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale.





WHAT YOU WILL DO

Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments.
Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful.
Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't.
Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap.
Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform.
Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry.
Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library.
Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community.

We are looking for a Security Engineer with 1-2 years of experience to join our Internal Security team.
This role combines hands-on cloud and security operations with support for GRC and compliance activities.
You will be involved in securing our cloud, SaaS, and AI-driven systems, monitoring security events, and helping maintain our overall security posture. In parallel, you will support customer security questionnaires and compliance processes.

What You'll Do:
Monitor, triage, and investigate security alerts and incidents across cloud and security tools (EDR, CASB, ZTNA, SaaS security platforms, and identity providers), and support response and remediation activities
Assist in securing cloud environments (AWS/GCP/Azure), including IAM, access controls, network security, and CI/CD pipeline security
Work closely with DevOps and IT teams to implement and enforce security best practices across infrastructure, endpoints, and SaaS systems
Support vulnerability management processes, including scanning, prioritization, and remediation tracking
Support risk management processes by identifying, assessing, and tracking risks, including vulnerability management, remediation efforts, and control gaps
Support customer security questionnaires (RFPs/RFIs) with accurate technical responses
Assist in maintaining compliance with frameworks such as SOC 2 and ISO 27001, including preparing audit evidence and documentation

As a Cloud Security Lead (Cloud Security Architecture & Hardening) , you will design, implement, and enhance the security of our mission-critical cloud infrastructure and the Enterprise Browser by establishing robust security architectures, implementing proactive hardening controls, and driving continuous operational excellence. You will play a critical role in safeguarding our cloud environment, shaping the foundational security posture through precision, innovation, and design foresight.

Key Responsibilities

Cloud Security Architecture & Hardening: Design and enforce security baselines, configurations, and reference architectures across our multi-cloud footprint (AWS/GCP/Azure). Evaluate new cloud services and features for security implications and create hardened deployment standards for IaaS, PaaS, and serverless components.
Security Engineering & Automation: Develop and deploy security-as-code solutions, integrating security controls directly into CI/CD pipelines and leveraging Infrastructure-as-Code (IaC) tools to ensure continuous configuration integrity and compliance. Develop custom automation for detection, alerting, and triage workflows, leveraging cloud SDKs and APIs.
Cloud Security Monitoring & Observability: Design, implement, and maintain cloud-native security monitoring solutions (e.g., utilizing services like CloudTrail, GuardDuty, Security Command Center) to ensure comprehensive visibility across the cloud control plane and data plane.
Incident Triage & Response: Support the security team in investigating and responding to critical security events and vulnerabilities, creating runbooks, and contributing to post-incident remediation and architectural improvements.
Security Enablement & Awareness: Collaborate with product, engineering, and IT teams to improve security awareness, deliver training, and drive adoption of security best practices across , specifically for IaaS, PaaS, and secure DevOps practices.