דרושים » אבטחת מידע וסייבר » Senior Security Engineer

our company builds the real-time 3D platform that powers games and interactive experiences, along with tools used across ads, automotive, aerospace, architecture, retail, energy, and government. Our Product Security team keeps that platform, and the software built on top of it, safe for millions of creators and their users.
We are seeking a Senior Application Security Engineer with profound expertise in application security. In this role, you will execute fundamental AppSec tasks, including threat modeling, secure design reviews, code evaluation, and vulnerability management, leveraging both manual methods and advanced AI tooling. You will also help secure the AI systems our company itself is building, including agentic tools and AI-assisted development workflows.
You will work directly with engineering teams across the US and EMEA.
What you will do
Lead threat modeling, secure design reviews, and penetration testing for our company products and services, from the engine and editor to cloud services, APIs, and internal platforms.
Perform deep code review and manual testing on high-risk systems, using AI-assisted review processes and covering areas automated tooling cannot fully reach.
Build and operate security automation. Use and extend AI-assisted tooling for continuous code review, finding triage, and automated penetration testing, and step in where human judgment is required.
Secure our company's AI and agentic systems. Assess AI-native products, LLM integrations, and agent workflows for the risks specific to them.
Partner with engineering teams to drive remediation, turning recurring findings into guardrails, secure defaults, and paved paths.
Investigate and respond to application security incidents, including root cause analysis and durable corrective action.
Contribute to our company's secure development lifecycle and to compliance work.

we are looking for a Senior Security Engineer.
Senior Security Engineer to act as a hands-on technical leader inside our security org, part builder, part architect, part trusted partner to R&D. You'll sit in design reviews, push back (constructively) on architecture choices, prototype the controls we're missing, and help R&D ship faster and safer.
This role suits an engineer who thinks in systems, codes when needed, and is energized by securing modern AI-driven, multi-cloud environments.
What you'll do:
Act as a security architect for new initiatives. Join design and solution-concept meetings with R&D before code is written and help shape architectures that are secure by default. Produce threat models, reference designs, and decision docs that engineers actually use.
Partner with R&D as a peer, not a gatekeeper. Embed with product and engineering teams. Translate security requirements into engineering language, and engineering trade-offs into risk language for leadership.
Own security across our multi-cloud footprint (AWS, GCP, Azure). Design and implement controls for identity, network, workload, and data protection that work consistently across environments.
Drive AI security. Build our defenses against threats specific to LLM and ML systems: prompt injection, model abuse, training-data integrity, agentic-workflow risks, MCP/tool-use exposure, secrets in prompts, and supply-chain risk in the AI stack. Help define what "secure AI development" means for us in practice.
Lead data security initiatives. Classification, encryption, key management, DLP, access governance, and data-flow mapping.
Evaluate and implement new technologies. Run POCs and deploy new tooling end-to-end. We expect you to have strong opinions on the security stack and to evolve it as the threat landscape shifts.
Write code. Automate controls, build internal tools, contribute to detection pipelines, and integrate security into CI/CD.

we are looking for a SecOps Detection & Response.
As a Security Operations Analyst, Detection & Response, you will help protect Aidocs cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring.

This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization respond quickly and effectively to security events.

You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of clinical AI platform.
Responsibilities:
Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact.
Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required.
Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning.
Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring.
Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations.

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

We are looking for a Senior Cloud Security Engineer to help build secure-by-default cloud platforms across Azure and AWS. This is an engineering-focused role centered on preventive controls, scalable guardrails, Kubernetes security, network security, and automation, not a SOC or incident-response-first position.
Primary focus areas: cloud security guardrails, Kubernetes security, cloud network controls, and automation across Azure and AWS
What You Will Do?
You will own the security architecture, guardrails, and automation patterns, while partnering with platform and infrastructure teams on implementation.
Own and evolve Cloud Security Posture Management (CSPM) capabilities, including policies, guardrails, and automated remediation.
Engineer and maintain cloud network security controls, including network segmentation and isolation, cloud-native firewalls and security groups, Application Gateway / WAF configurations, and secure ingress and egress patterns.
Define and enforce security best practices for Kubernetes environments (AKS/EKS), including RBAC, network policies, workload isolation, and cluster hardening.
Partner with engineering teams on architecture reviews for new services, platforms, and major changes, helping teams design secure, compliant, and practical solutions.
Engineer and maintain identity and access security controls for cloud and production environments, including least privilege, workload identity, service principals, and conditional access.
Apply a security lens to FinOps, defining guardrails that balance cost optimization with security and compliance.
Develop tooling, automation, and self-service workflows that reduce manal effort and improve consistency across security programs.
Communicate complex security risks and technical recommendations clearly to engineering teams, leadership, and cross-functional stakeholders.
Mentor junior engineers and contribute to raising the overall security maturity of the organization.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.
Youll Impact:
Support a culture where security is embedded into the foundation of engineering
Turn security into a strategic product advantage and customer trust differentiator
Improve developer experience by making the secure path the easiest path
Increase engineering velocity while strengthening platform resilience
Shape the future intersection of Security, AI, and Platform Engineering
Create scalable systems, processes, and relationships that grow with the companys innovation pace.

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 revolutionizing legal tech with an AI-powered Legal Intelligence Platform trusted by some of the world's fastest-growing companies including Wiz, Socure, and Fiverr.
We integrate seamlessly with Salesforce and other systems to help in-house legal teams accelerate negotiations, reduce risk, and unlock institutional knowledge through automated workflows.
We're solving complex problems at the intersection of AI and legal operations. Join us as we scale our impact globally.
About the Role
We're looking for a Head of Security to own security end-to-end at our company- from the architecture of our product to the systems our own team runs on.
We handle some of the most sensitive documents our customers have, and our buyers' security teams scrutinize us accordingly.
You'll be our first dedicated security hire and the sole internal authority on the subject: setting the standards our engineers build against, owning our compliance posture, and sitting across the table from customer CISOs to defend it.
This is a hands-on role with real strategic weight - if you want to build a security function from scratch at a company where security is a deal-maker, we want to hear from you.
What You'll Do
Design, architect, and implement security directly into our product and codebase
Own our internal security posture: corporate IT, access management, endpoint, and employee security practices
Lead customer-facing security engagements - pre-sales security reviews, CISO-level discussions, security questionnaires, and enterprise assessments - representing our company's posture to buyers who evaluate us seriously
Own our compliance program end-to-end, including audits, evidence, and vendor risk
Set security standards and best practices across R&D and product as the internal authority on the subject
Build the security review process for how we ship AI features - threat modeling around LLMs, agentic workflows, and customer data boundaries
Partner with DevOps and engineering on cloud security, secure architecture, and incident readiness
Grow the security function as we scale, from process to headcount.

We are looking for a Security Engineer to join our Security Engineering team. This is a generalist, "all-rounder" role - you will work across all security domains, while leading and owning a specific security domain based on your expertise.
You will define and drive security programs, design and implement security controls, and make architecture-level decisions across your domain. You will work closely with R&D, DevOps, and engineering teams, embedding security into how we build and operate at scale, and help shape a security-first culture across the organization.
What You'll Work On:
Define and maintain security standards, policies, and controls across all security domains - including SSDLC processes and secure development standards across R&D
Work hands-on alongside R&D, engineering, and IT teams to implement security controls, drive adoption, and ensure execution
Lead and contribute to large-scale security projects with real organizational impact
Evaluate, integrate, and operate industry-leading security tooling and platforms - including emerging startups with cutting-edge technologies
Build automation, tools, internal processes, Terraform modules, GitHub Actions, and AI agents for engineering teams and for your own team
Conduct security assessments and threat modeling.
Lead containment, investigation, and forensic analysis during security incidents
Identify security gaps and misconfigurations across cloud environments, infrastructure, and internal processes - and drive remediation through scalable, long-term solutions
Contribute across all security domains - cloud, application, AI security, detection engineering, IT, and more

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.