דרושים » אבטחת מידע וסייבר » Senior Security Engineer

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're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

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 Product Security Engineer.
Responsibilities:
Own, maintain, and continuously improve the Secure Design Review process, ensuring security considerations are integrated early in the development lifecycle.
Develop, implement, and maintain Application Security Program, including controls, standards, developer enablement, and automation.
Manage SAST and DAST tooling, including configuration, integrations, alerting, developer workflows, and program-wide reporting.
Monitor and enforce SDLC security controls, ensuring consistent application of secure development practices across all engineering teams.
Develop and maintain Cloud Security Program, defining guardrails, policies, and automated controls for secure-by-default cloud deployments.
Manage CSPM tooling, including configuration, findings triage, reporting, and alignment with internal risk and compliance processes.
Partner with DevOps to design, implement, and maintain a fully secured CI/CD pipeline, ensuring that security checks, guardrails, and automated gates are embedded throughout build, test, and deployment stages.
Collaborate closely with engineering teams to deliver actionable guidance, model threats, advise on architecture, and support secure implementations.
Drive automation-first approaches to product and cloud security, reducing friction and enabling fast, safe development.
Define and track KPIs, metrics, and reporting for application and cloud security health.
Identify gaps in product, application, and cloud security posture and drive end-to-end remediation plans.
Promote a culture of security and developer empowerment by delivering clear, pragmatic, and scalable guidance.

In this position, you will have the autonomy to choose the best tools for the job, manage our corporate environment from the ground up, and have a direct impact on protecting the financial data of global enterprises while ensuring our team has the best technical tools to succeed.
What youll do
IT Operations & Employee Experience
Youll work closely with the CTO, engineering, and business teams, combining hands-on execution with real ownership and impact.
Manage corporate SaaS platforms, identity management (SSO), and Google Workspace.
Compliance & audits (SOC2, PCI)
Acting as the security point of contact for customers, auditors, and internal teams
Act as the primary technical point of contact for all employees, providing hands-on support and troubleshooting.
Deploy and operate endpoint security and management tools (EDR, MDM, DLP) across a distributed workforce.
Cloud & Infrastructure Security
Improve and maintain the security posture of our AWS/GCP-based cloud infrastructure.
Operate cloud security platforms, such as Upwind / Wiz / Oligo, or similar solutions to prioritize and remediate risks.
Design and enforce secure access controls and least-privilege IAM policies.
Investigate cloud security alerts and support incident response.
Application Security
Integrate security into the SDLC and CI/CD pipelines by automating SAST, SCA, and secret scanning.
Secure containerized workloads (Kubernetes / EKS) focusing on runtime protection and image hardening.
Provide guidelines and safeguards for AI-powered development processes and AI models within our SaaS platform.
Compliance & Security Culture
Support SOC2 and PCI DSS compliance initiatives and audit readiness.
Serve as the primary security focal point for external auditors.
Contribute to security awareness and best practices across the company, explaining the rationale behind security requirements.

Required Head of AI Security
Tel Aviv
As the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures.
Youll Own:
Our end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
Secure-by-design frameworks and security architecture for AI-powered products and platforms
AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
AI governance, internal security policies, and alignment with emerging global AI regulations and standards
Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Youll Solve:
Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
Preventing sensitive customer and enterprise data from leaking into training sets or model outputs
Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
Embedding security seamlessly into the ML lifecycle without slowing innovation
Building scalable AI security operations through automation, monitoring, and continuous adversarial testing
Navigating evolving AI governance, compliance, and regulatory requirements across global markets
Youll Impact:
Maintain our reputation as a leader in secure and trustworthy enterprise AI
Build the foundation that allows AI innovation to scale safely and responsibly
Strengthen customer trust by protecting highly sensitive conversational and business data
Create resilient AI systems that can withstand real-world attacks and emerging threat vectors
Drive a security-first AI engineering culture across the organization
Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company.

We're looking for a Senior Principal Threat Hunter to serve as a senior technical leader within our Cyber Defense Team team.

This is a high impact individual contributor role, you won't manage people, but you'll influence how we hunt, investigate

and respond to threats across cloud and SaaS environments at scale.

You'll be the person who takes a weak signal, a piece of emerging intelligence, or an unusual customer activity pattern and turns it into a meaningful investigation, a proactive hunt, or a new detection opportunity.

You'll lead the most complex investigations, drive threat intelligence initiatives, and help define the hunting methodologies that guide our customers' security outcomes.

As one of the team's most senior practitioners, you'll act as a force multiplier across hunting, intelligence, and incident response functions, elevating technical standards, mentoring peers, and helping shape the future of our detection and response capabilities.

What You'll Do
- Design and execute proactive threat hunts across cloud and SaaS environments (AWS, Azure, GCP, Okta, M365), grounded in current intelligence and ATT&CK-mapped adversary behavior.
- Mature and operate a recurring threat intelligence reporting function, turning intel into hunt leads, detection opportunities, and customer-facing narratives.
- Lead incident response investigations during US business hours, from scoping through root cause; step into the Incident Commander role when required.
- Continuously monitor threat detections and deliver responsive services with thorough event analysis and judgement.
- Triage and investigate security alerts across cloud and SaaS environments, separating true threats from noise and surfacing detection gaps to the detection engineering team.
- Leverage automation and AI tooling to scale impact, and propose improvements for processes, workflows, products, and policies.
- PLUS: Exposure to detection engineering, tooling and automation development, or prior managed services (MSSP) experience.