דרושים » אבטחת מידע וסייבר » Senior Security Engineer (Cortex)

We are building a next-generation autonomous systems platform deployed across cloud and air-gapped environments, supporting real-time operations and complex hardware-software integration.
The IT Solution Architect plays a key role in bridging R&D and real-world operations. This position is responsible for ensuring that our systems are successfully deployed, installed, and operational in customer environments.
This is not a traditional IT role-it's a hands-on engineering position focused on system delivery, networking, and field readiness of advanced software platforms.
Responsibilities
Lead the provisioning and setup of production environments for deployed systems
Own the networking architecture and configuration for on-site and customer environments
Define and execute installation and deployment strategies for complex, distributed systems
Troubleshoot system-level issues across software, infrastructure, and networking layers
Work closely with R&D teams to ensure solutions are deployable, robust, and maintainable
Support operations teams in delivering reliable, repeatable deployments
Continuously improve deployment processes, documentation, and tooling
Why This Role is Unique
You are the last mile of delivery-turning advanced software into working systems in the real world
Direct impact on customer success and operational reliability
Work on complex, multidisciplinary systems combining software, networking, and infrastructure
High ownership and visibility across engineering and operations
Who You Are
Hands-on and practical, with a strong get it running mindset
Comfortable working in dynamic, real-world environments
A natural troubleshooter who enjoys solving complex system issues
Able to bridge gaps between engineering design and operational reality.

We seek a senior staff-level product security engineer to serve as a senior technical authority within the Product Security Incident Response Team (PSIRT). PSIRT is our awareness, response, and investigation capability for post-release vulnerabilities in our-developed products and service offerings.
This role is for a recognised expert who can operate independently and as part of a team on the most significant security issues facing the platform-vulnerabilities that require evaluating intangibles. You will lead deep-dive investigations, coordinate resolution across engineering, product, and release teams, and demonstrate calm, decisive leadership during significant security events.
This is a role for someone who already understands product development cycles and the engineering and product relationships that drive them-and will use that fluency to lead fixes to completion under incident pressure. You will help shape how we respond to product security vulnerabilities at scale and the technical rigour of the entire response capability.
The coverage provided by this role is:
Sunday: 10:00 - 18:00 UTC.
Monday: 08:00 - 16:00 UTC.
Tuesday: 08:00 - 16:00 UTC.
Wednesday: 08:00 - 16:00 UTC.
Thursday: 08:00 - 16:00 UTC.
Due to the nature of incident response and the needs of the business, coverage may change. Additional coverage outside of stated hours may be required in response to significant incidents.
Key Responsibilities:
Lead Through Significant Security Events:
Demonstrate technical and organisational leadership during these events-bringing structure and clear decision-making under pressure.
Partner with incident commanders, business information security leadership, engineering, and customer-facing teams to maintain clear ownership, workstream prioritization, and hand-offs during these events.
Reduce Exposure Window:
Drive coordinated response across affected releases, balancing risk and remediation feasibility.
Leverage an understanding of product development cycles and engineering/product partnerships to move fixes through the release pipeline without stalling on organisational boundaries.
Verify fix completeness and guard against incomplete mitigations before release.
Drive the CVE & Coordinated Disclosure Process:
Collaborate with external security partners, vendors, and researchers on coordinated disclosures, aligning timelines and messaging across parties.
Conduct technical accuracy reviews of external advisories, researcher write-ups, and joint disclosure content to ensure correctness before publication.
Represent PSIRT's technical position in multi-party coordinated disclosures and researcher engagements.

We seek a Staff Application Security Engineer to serve as the technical core of our bug bounty program within the Product Security Incident Response Team (PSIRT). This is the senior engineer who owns bug bounty reports from intake through resolution: reproducing and validating the vulnerability, assessing its severity, and seeing it through to a verified fix.
The work is deeply technical. Reproducing a vulnerability is only the starting point. From there you read the underlying code, identify root cause, and either propose the fix or design it alongside engineering before confirming it holds. You are also the person researchers deal with directly, which makes clear, credible communication as central to the role as the technical analysis itself.
As one of the most senior engineers on the team, you will set the standard for how triage is done and mentor earlier-career engineers. Beyond the bug bounty queue, you will conduct variant hunts, perform original platform security research, lead major product security incidents, and run forensic postmortems when a significant issue reaches production.
Key Responsibilities:
Triage and Resolve Bug Bounty Reports:
Own incoming reports end-to-end: intake, reproduction, severity scoring, root cause analysis, fix verification, and final disposition.
Reproduce and validate reported vulnerabilities, building out incomplete proof-of-concept code where needed.
Serve as the technical escalation point for the most complex and highest-severity reports, including multi-step exploit chains and cross-system issues.
Perform code review and root cause analysis to identify the underlying defect rather than the reported symptom.
Propose remediations, or design them with engineering, and verify the fix resolves the issue.
Assign and defend severity ratings using the program's severity framework.
Route issues to owning teams, file and track defects, and keep vulnerability records accurate through closure.
Own Researcher and Stakeholder Communication:
Act as our primary technical point of contact for bug bounty researchers across the full lifecycle of a report.
Handle severity and validity disputes directly, keeping every exchange clear, timely, respectful, and technically credible.
Translate technical findings for internal stakeholders and keep engineering and leadership current on status and risk.
Mentor the Team and Raise Triage Standards:
Provide technical mentorship to earlier-career PSIRT engineers, developing depth in reproduction, code analysis, severity judgment, and communication.
Set and maintain the bar for triage quality and strengthen program practices over time.
Lead Advanced Security Work Beyond Triage:
Conduct variant hunts to find related instances of reported vulnerabilities before they are discovered externally.
Perform original platform security research to surface issues ahead of external researchers.

we are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
Responsibilities:
Lead technical discovery and solution-design workshops with merchant engineering, architecture, and business teams.
Understand the merchants existing e-commerce architecture, business requirements, operational processes, and technical constraints.
Define the most appropriate company integration approach across supported platforms, APIs, order management systems, and fulfilment solutions.
Design end-to-end solutions, including system interactions, data flows, integration responsibilities, dependencies, and technical risks.
Translate business requirements into clear technical specifications and implementation plans.
Act as the technical owner throughout delivery, ensuring the agreed solution is implemented correctly and aligned with our company best practices.
Guide merchants and partners through configuration, development, testing, launch readiness, and go-live.
Identify technical risks and complexity early, challenge non-scalable designs, and recommend practical alternatives.
Investigate complex integration issues by reviewing API payloads, logs, network traffic, system behaviour, and configuration.
Coordinate with Product and R&D when product changes, technical clarifications, or defect resolution are required.
Provide structured feedback to Product and R&D based on recurring merchant requirements and integration patterns.
Support internal teams through technical enablement, documentation, and knowledge sharing.

Required Principal AI Security Engineer
Job Description
Role
This is a hands-on architecture role: deep research, secure systems design, and prototyping, applied across product lines with minimal direction and broad latitude to set the technical agenda. You will set platform-wide direction for securing the AI development lifecycle, define the security architecture, agents, and models operating within it, and represent our AI security point of view externally. You'll be a technical authority other engineers and other teams look to on emerging AI-specific threats, working in close partnership with the AI security research team - drawing on their findings and feeding real-world attack surfaces back into their agenda.
What you'll do:
Own the security strategy and architecture for our Agentic AI ecosystem, LLMs, and models across product lines
Lead threat modeling for the most complex and novel GenAI/agentic surfaces: cross-agent autonomy, multi-agent tool orchestration, and emerging attack classes not yet standardised in the industry
Set the architectural standard for securing model/RAG/data pipelines platform-wide, including access-control and data-boundary models that other teams are expected to build against
Define what "secure-by-design" means for agentic systems, and drive adoption across engineering orgs
Represent our AI security posture externally (standards bodies, industry publications, conferences) and internally to executive stakeholders
Mentor and technically guide engineers on AI-specific security work

As a Technical Program Manager (TPM) in the R&D PMO team. You will bridge the gap between large-scale organizational architecture and processes and modern, automated execution. You will be responsible for designing, implementing, and scaling critical cross-functional processes-such as R&D planning, dependency tracking, and operational governance-across multiple engineering and product divisions. You are proactive leader and an AI-fluent builder. You will lead complex stakeholder alignment across different groups, but you will also actively leverage AI workflows, low-code automations, and modern tooling integrations to bake your processes directly into our R&D environment. Your goal is to deliver operational solutions while permanently eliminating manual "administrative tax" for our developers.
Your Impact
Architect Cross-R&D Operating Models: Lead the end-to-end design, rollout, and optimization of massive cross-functional frameworks (e.g., quarterly/annual planning cadences, execution governance, and cross-team dependency mapping) aligning cross R&D teams with core business priorities.
Drive Stakeholder Alignment & Change Management: Serve as the central pivot across Engineering and Product functions. Navigate conflicting priorities, build high-trust alignment, and coach diverse teams through organizational changes.
Programmatic Process Automation: Actively explore, prototype, and implement smart tooling, API integrations, and AI-driven workflows to automate data aggregation, status tracking, and reporting-ensuring operational consistency without sacrificing developer velocity.
Optimize R&D Effectiveness: Mine and analyze R&D delivery metrics, telemetry, and performance data to identify systemic friction points. Deploy scalable engineering-adjacent solutions rather than adding manual check-ins or status meetings.

we are looking for a DevOps Engineer to join our global team.
What You Will do?
You will work with cutting-edge technologies and tackle a wide range of challenges in building a scalable, globally distributed infrastructure.
In this role, you will:
Work with a diverse set of technologies, simplifying complex solutions.
Collaborate closely with multiple teams across the organization.
Be part of a team responsible for designing, optimizing, and maintaining a high-scale production environment that handles massive traffic loads with high complexity.
Architect, deploy, and maintain robust and scalable cloud infrastructures on AWS and Azure.
Develop and optimize CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments.
Implement and manage monitoring, logging, and alerting solutions across cloud platforms to ensure application health and performance.
Provide advanced troubleshooting and resolution for infrastructure issues in production, development, and testing environments.

our company's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing our company Secrets Manager's infrastructure and application development life cycle.
The DevOps team collaborates with developers and works with PM to deliver new capabilities and continuously improve the services' robustness, availability, and quality.
We are looking for an outstanding DevOps Engineer with an "automation first" mindset who is passionate about continuous integration and continuous deployment methodologies and best practices, performance, stability, and security.
Responsibilities:
As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market.
Have end-to-end ownership from individual development environments, SCM, Build/CI server, to our production system on AWS.
Design and manage Continuous Integration/Deployment Services (build, packaging and deployment)
Design, document, implement and maintain scripts to enhance current and future build and release processes
Incorporate new development projects into existing build structures
Continually evaluate tools and technologies to improve the overall release process.

we are looking for an experienced Data Scientist to join us and take a key role in turning large-scale, real-world data into smarter product and business decisions.With millions of users interacting with mobility services, our data reflects complex customer behavior, business models, and real-life mobility patterns.We're looking for someone who can go beyond building models - someone who knows how to identify the right problems, challenge assumptions, uncover opportunities in the data, and translate them into real business impact.
You'll have significant professional ownership, from taking an ambiguous business question and framing it as a statistical or Machine Learning problem, through choosing the right methodology, building and evaluating the solution, and bringing it to production.Just as importantly, we expect you to proactively identify questions that should be answered with data - even when nobody has asked them yet.
Responsibilities:
Own Data Science problems end-to-end - from business question and hypothesis to modeling, evaluation, and production.
Partner closely with Product, Business, Data, and Engineering teams to translate complex business challenges into data-driven solutions.
Proactively identify opportunities where statistical analysis, Machine Learning, and AI can improve our products, customer experience, and business performance.
Build, train, evaluate, and improve Machine Learning models used in production, across both real-time and batch use cases.
Select the right statistical or ML approach based on the problem and the data - including recognizing when a simple analytical solution is better than a complex model.
Define meaningful evaluation methodologies and connect model performance to real business impact.
Communicate complex statistical findings clearly to both technical and non-technical stakeholders.

Were expanding a fast-growing practice that helps engineering teams leverage AI in their SW development lifecycle and transform into AI-native teams. Weve served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on engineer to lead and drive R&D AI transformation programs, AI tooling adoption & tracking, create resources and run training at scale.
Key Responsibilities:
Own the AI R&D transformation and Agentic SDLC agenda across multiple clients: assessments, KPIs, rollout plans, training, champions programs, skills/agent developments, etc.
Lead AI Coding Tooling optimization end-to-end, plus evaluate/compare adjacent tools (e.g. Claude Code, Cursor, GitHub Copilot, Kiro, etc).
Create training materials (slides, exercises, demos) and deliver workshops; Train teams yourself and mentor trainer bench.
Develop AI infra & tooling, dashboards, frameworks, playbooks and AI resources (skills, agents, hooks, MCPs, etc) for clients to enable transformation, automation and governance
Partner with Sales/Delivery on pre-sales to attract new customers.
Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.