דרושים » אבטחת מידע וסייבר » Security Operations Engineer

We are looking for a Security Engineer to join us. In this role, you will take part in securing our companys production environments across network, data, and AI domains. You will work closely with SRE, DevOps, platform, and internal security teams to design, operate, and continuously improve security controls, reduce risk, and strengthen our detection and response capabilities in a fast-growing, cloud-native environment.
Responsibilities
Support, maintain, and operate network, data, and AI security controls across our companys 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 across the Cyber Defense Group.

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

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.

As a Cloud Infrastructure and AI Security, you will play a key role in securing multi-cloud infrastructure, embedding security into DevSecOps, and ensuring AI platforms and agentic integrations are built and operated with enforceable security controls.
This role requires deep, hands-on expertise across Cloud Infrastructure Security and AI Security. You will actively design, implement, and enforce security controls across multi-cloud environments and Agentic AI, working closely with R&D, Product, and DevOps teams to embed security directly into architecture and development from day one.
You will operate at the forefront of cloud security, AI and blockchain, helping define how agentic AI systems are implemented safely in production. This is an opportunity to work on cutting edge technologies, collaborate with experienced security and engineering professionals, and grow within one of the most advanced and rapidly evolving domains in modern security.
What You'll Do:
Design, implement, and maintain security controls across multi-cloud infrastructures
Work closely with R&D teams to understand constraints and risks in Agentic AI and Infrastructure
Design and implement runtime AI security controls (guardrails, filters, policy engines, gateways).
Build protections for LLM inference, agent tool execution, MCP / plugin frameworks, and RAG pipelines.
Implement prompt, input, and output inspection for abuse, jailbreaks, data leakage, and policy violations.
Secure Infrastructure, CI/CD pipelines, and automation workflows by embedding DevSecOps best practices
Conduct security reviews of product features, new technologies and ensure they meet security requirements.
Secure Kubernetes clusters and containerized workloads in production environments
Evaluate AI attack vectors (prompt injection, model poisoning, data exfiltration, jailbreaks, emerging attack patterns) and implement effective mitigations
Collaborate with other security teams to resolve security issues and implement security improvements.
Lead security projects and initiatives across environments to enhance the platform's security.

Required Security Engineer - GRC
Job Description
As an AI native GRC Engineer, you will be a key business enabler, ensuring the organization operates effectively, fast, and securely. You will design and maintain cybersecurity tools while leading SaaS security and supply chain initiatives including SSPM, vendor assessments (TPRM), and NHI monitoring. By mitigating risks in software dependencies and collaborating across IT and Business teams, you will bridge the gap between robust security and operational velocity, driving actionable plans for growth.
In your day-to-day, you will:
Deploy and configure security tools, AI tools, processes, and flows to drive efficiency across GRC processes.
Build integrations using APIs and webhooks to streamline GRC workflows
Monitor real-time activity across sensitive business applications, identifying misconfigurations, incorrect permissions, and policy violations.
Collaborate with IT teams and business stakeholders to address security weaknesses and ensure alignment with security standards and company policies
Define automation processes to streamline detection and remediation of security gaps in sensitive applications and third-party integrations .
Identify risks related to third-party integrations, automating their discovery and mitigation to minimize exposure across the SaaS environment.

We are looking for a senior, hands-on Security Operations Lead to build, mature, and operate Zenitys detection, response, and corporate security capabilities. You will own the engineering, workflows, and processes that keep Zenity secure day-to-day, while continuously improving visibility, automation, and operational resilience across both corporate and production environments. This role requires a technical operator who can architect scalable detection and response pipelines, manage endpoint and identity security controls, streamline GTM security enablement, and collaborate across the company to reduce risk. You will balance strategic direction with hands-on execution-ensuring threats are identified quickly, incidents are handled effectively, and the organizations operational security posture remains strong as Zenity grows.
Responsibilities:
Own and mature Zenitys Detection & Response program, including alerting, triage workflows, incident playbooks, and end-to-end response processes.
Build and maintain detection logic, integrations, and automation across logging, SIEM, EDR, cloud telemetry, and internal monitoring systems.
Lead incident investigations, coordinate response across engineering and business teams, and ensure clear communication and post-incident reviews.
Manage Zenitys Corporate Security Program, including identity and access management, endpoint posture management, corporate data security controls, and DLP practices.
Oversee privileged access workflows and JIT access for corporate and production systems in alignment with least-privilege principles.
Partner with engineering teams to ensure production environments maintain strong security baselines, logging, and monitoring coverage.
Collaborate with GTM/Sales teams to support Security Enablement, including third-party security questionnaires, customer assurance needs, and auditor inquiries.
Build automation-first operational processes that reduce manual overhead and provide consistent, repeatable security outcomes.
Develop and refine detection and response runbooks, escalation paths, and cross-team coordination models.
Maintain and improve incident and operational metrics, dashboards, and KPIs to measure operational efficiency and threat coverage.
Drive the intake and prioritization of security operations requests through Jira and internal workflows.
Work closely with Product Security, Cloud/DevOps, and GRC to ensure shared visibility and aligned operational practices.
Identify operational security gaps, propose improvements, and lead implementation efforts across tooling, processes, and controls.
Promote a culture of proactive detection, fast response, and shared responsibility for organizational security.

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

we are looking for a Cybersecurity Manager, AI Security Practice
Role Overview:
As a Manager in the Cybersecurity Practice with a focus on AI Security, you will drive strategic growth of offerings at the intersection of cybersecurity, artificial intelligence (AI), and governance risk & compliance (GRC). You will lead client engagements, shape innovative service offerings, influence go-to-market strategy, mentor delivery teams, and help organizations secure AI transformative initiatives.
This role sits at the convergence of consulting, technology, and risk advisory, requiring both deep technical expertise in AI and ML security architectures and senior client relationship leadership. You will work cross-functionally with global teams including cyber, cloud, data, AI and risk to embed security strategies into clients AI journeys.
Responsibilities:
Strategic Leadership & Practice Growth:
Define and execute the strategic roadmap for AI security offerings and solutions, including consulting frameworks, accelerators, and tool integrations.
Drive thought leadership in AI risk management, secure AI adoption, and cyber governance for emerging technologies.
Lead go-to-market strategy, including positioning, business development, proposals, pricing, and differentiation in AI security.
Influence global cyber offerings to incorporate AI risk, threat modeling, compliance, and resilience considerations.
Client Delivery & Engagement:
Lead complex client engagements end-to-end, from scoping through delivery, ensuring high quality, on-time and profitable execution.
Advise enterprise clients on secure AI adoption, AI threat landscape, governance frameworks, secure deployment patterns, and operational resiliency.
Architect secure AI and ML environments, including identification of risks such as data poisoning, model extraction, integrity attacks, and unauthorized access.
Integrate AI security with enterprise security programs, cloud, DevSecOps, identity and access management, and compliance controls.

we are seeking a highly motivated and talented XDR Research Engineer to join our XDR Research team. In this role, you will develop advanced detection logic to identify and analyze security threats across the company XDR platform. Leveraging the rich data available in the company Cloud data lake, you will conduct extensive research and threat-hunting activities to broaden our detection capabilities and proactively uncover previously unknown threats.
Your work will directly influence the evolution of our companys XDR capabilities and strengthen the security posture of thousands of global customers.
This is an exceptional opportunity for security professionals passionate about Network Security, Detection Engineering, Malware Analysis, and Threat Hunting who want to make a meaningful impact on a fast-growing cybersecurity environment.
Responsibilities
Develop advanced detection logic for the XDR platform to identify security threats.
Conduct research using our company Cloud data, competitive intelligence, and newly published threat reports to expand detection coverage.
Create hunting heuristics and methodologies to uncover unknown or emerging threats.
Continuously improve detection accuracy and enhance the platforms ability to identify threats in a dynamic security landscape.
Participate in cybersecurity breach investigations and security incident activities.
Contribute to technical blogs and PR materials, and participate in cybersecurity conferences.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
What Youll Do
Own and operate our endpoint security stack - EDR, EPM, and device compliance - across the organization
Define and enforce endpoint posture and hardening standards at scale
Build and evolve Identity Security controls using Entra ID (Azure AD) - including access policies, hardening, and attack surface reduction
Continuously improve authentication, authorization, and identity-based defenses
Take ownership of our SaaS Security posture using SSPM solutions - identifying risks, misconfigurations, and exposure across applications
Drive visibility, governance, and control across our SaaS ecosystem
Partner with IT, Security, and Engineering teams to turn risks into practical, enforceable controls
Act as a technical escalation point for complex issues across endpoint and identity domains
Lead initiatives end-to-end - from problem definition to implementation and continuous improvement.