דרושים » הנדסה » Principal AI Security Engineer

Lead the design, implementation, and management of security controls across three critical domains: Endpoint Security, Identity & Access Management, and AI Security, safeguarding Palo Alto Networks' global infrastructure with a Zero Trust approach.
Key Responsibilities
Design, build and implement enterprise security capabilities to protect Palo Alto Networks global infrastructure
Develop strategies to maintain security architecture, prevent unauthorized access, and ensure identity governance across the enterprise
Establish, maintain, and enforce hardened security baselines for Endpoints, Identity, and AI tools
Lead AI security governance, define controls, policies, and threat models for safe enterprise adoption of AI tools and models
Evaluate and secure AI-related data flows, including prompt injection risks, model access controls, and data exfiltration vectors
Implement and manage Identity Security, Endpoint security, and Access Management capabilities with a Zero Trust approach
Design and enforce endpoint hardening strategies across managed and unmanaged devices, endpoint DLP controls, drive mobile security and BYOD posture management
Be the first customer for Palo Alto Networks products and provide practitioner feedback to the product teams
Perform threat modeling and security architecture reviews for complex enterprise systems, infrastructure, and third-party integrations
Work with Security Operations team to investigate identity and endpoint breach incidents, identify root cause and provide appropriate remediation or risk reduction plans
Collaborate with legal and governance, risk and compliance (GRC) teams to ensure adherence to Identity and data protection regulations
Evaluate ongoing practices and procedures, technical documentation, and diagrams for appropriate security measure maturity and effectiveness
Lead hands-on POCs and technology evaluations with rigorous benchmarks; champion adoption with a collaborative team mindset
Be a strong thought leader and clearly communicate and build support for your ideas.

our company seeks a Senior 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 company's 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.
Lead major product security incidents on the PSIRT side, coordinating response across teams under pressure.
Run forensic postmortems after significant incidents to determine how the issue reached production, including how design-level flaws bypassed release processes, and confirm that remediations hold.

Your Career:
As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

our company runs on small, autonomous pods that own an outcome and a roadmap end to end. We hire engineers, not language specialists: we care that you can reason about systems, pick the right tool for the problem, and ship reliable software across the stack.
As a Senior Full Stack Engineer, you'll build the product surfaces that bring our marketplace together - campaign management and creation, unified dashboards and reporting, audience and asset tooling, and the APIs that connect demand to supply. You'll work across front-end, back-end, and data, contributing to the unified product architecture at the heart of our FY27 roadmap. The underlying platform requires heavy back-end engineering, low-latency optimization, and algorithmic problem-solving to manage massive throughput and real-time marketplace dynamics.
About the Senior Full Stack Engineer Role
Design and build full-stack features - from responsive web front-ends to back-end services and APIs - that power campaign management, reporting, and marketplace optimization
Choose the right language and tools for each problem (we run a polyglot stack), and keep the front end lightweight by pushing complex computational logic, data modeling, and heavy algorithmic weight into robust, scalable back-end services
Build and consume well-designed APIs that integrate DT products into a unified architecture rather than isolated silos
Own your services in production: testing, observability, performance, and on-call, treating quality as a whole-team responsibility
Collaborate directly with product leads and stakeholders, contributing to scoping, estimation, and technical decisions within your pod
Mentor teammates and raise engineering standards through code review, automation, and pragmatic architecture.

We are looking for a highly seasoned Tech Lead with a deep SaaS background to bridge the gap between high-level architectural vision and hands-on technical execution. In this role, you will be a cornerstone of the Platform group, blending very senior development expertise with architectural leadership.

You will lead by example, spending a significant portion of your time in the code while simultaneously guiding the technical and architectural direction of the group. Reporting to the Platform Group Manager, you will collaborate with product managers and engineers to deliver robust capabilities consumed by internal teams and external customers.

What You'll Do

Hands-on Technical Leadership

Lead or co-drive the implementation of complex, cross-cutting platform features, maintaining a high standard for code quality and system performance.

Translate architectural goals into actionable technical roadmaps and lead teams through successful execution.

Balance daily feature delivery with long-term architectural health, ensuring that technical debt is managed effectively.

Provide deep-dive code reviews and technical mentorship, elevating the engineering craft across the domain.

Serve as the primary technical point of contact for the group, making critical decisions on implementation patterns and tool selection.

Architectural Execution

Collaborate with the other tech leads to ensure cross-group-level implementations align with our broader technical and architectural strategy.

Drive the adoption of modern distributed system patterns and cloud-native best practices through direct implementation and guidance.

Champion the use of AI tools to optimize development lifecycles while maintaining deep ownership of the system codebase.

As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

We are seeking an energetic and versatile Principal Software Engineer to join our elite team responsible for building our Identity Authentication platform. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. In this role, you will be a core technical authority using AWS architecture, AWS CDK, and .NET to design, develop, test, secure, and deploy high throughput, production ready cloud services from planning to production. Working in full collaboration with security architects, product managers, and cross functional development teams, you will produce complex and advanced SaaS services that satisfy demanding scalability, security standards, and Non-Functional Requirements (NFRs).
Your Impact:
Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS and .NET following secure-by-design principles.
Practice all aspects of the software development lifecycle within an agile, continuous-delivery environment.
Spearhead research into modern cybersecurity mechanisms, evaluate emerging tech stacks, and pioneer cut-edge solutions to solve complex platform bottlenecks.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

At our company, we make mobile advertising and discovery experiences more meaningful for users, app publishers, and advertisers - intelligently connecting people across more devices than anyone else in our space. Our on-device footprint, Ignite, ships with hundreds of millions of devices through the world's leading OEMs and carriers, and is the foundation of our strategy to maximize the value of our on-device presence.
As a Senior Mobile Engineer, you'll build and harden the SDKs and on-device services that power app delivery, discovery, and monetization at carrier and OEM scale. This is a high-impact role on a small, autonomous team that owns its products end to end - from design through release, monitoring, and on-call. Your work directly supports our FY27 goals of reducing installation failures, enabling dynamic app delivery, and extending our on-device presence into alternative distribution.
About the Senior Mobile Engineer Role
Design, build, and maintain high-performance Android SDKs and on-device services (with iOS work as our cross-platform footprint grows), focusing on reliability, footprint, battery, and security
Drive down install and delivery failures - improving package-manager reliability, dynamic app-delivery (ASR), and recovery paths across a highly fragmented device and OS landscape
Partner with OEM and carrier integration teams to ship features that operate within tight platform, privacy, and resource constraints
Extend on-device surfaces that power alternative distribution and brand-on-device experiences, a key pillar of DT's FY27 roadmap
Own the full lifecycle of what you build: instrumentation, alerting, rollout strategy, A/B experimentation, and on-call for your services
Raise the bar on code quality through reviews, automated testing, and tooling, and mentor other engineers on mobile best practices.

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

The Tech Platform organization maintains and evolves the foundational platform and shared services that every other DT workstream depends on. As we assemble siloed products into a single marketplace, getting the platform right - reliable, observable, standardized, and cost-efficient - is the critical variable for execution at marketplace scale.
As a Senior Infrastructure Engineer, you'll design and operate the large-scale distributed systems, data infrastructure, and deployment platforms that serve tens of billions of daily events. You'll help drive our OneDT standardization - including the migration to GitOps/ArgoCD and unified CI/CD - and build the platform capabilities (including ML and data infrastructure) that the rest of engineering builds on.
About the Senior Infrastructure Engineer Role
Design, build, and operate large-scale distributed systems and data platforms for reliability, scalability, and cost-efficiency
Drive the OneDT platform standardization: GitOps/ArgoCD adoption, unified CI/CD pipelines, and a clear developer-ownership model across business lines
Build and operate Kubernetes-based infrastructure, including Spark-on-K8s and data/ML platform tooling (e.g., Databricks ecosystems)
Implement MLOps and data-pipeline capabilities - training, deployment, and serving infrastructure - in partnership with ML and Data teams
Champion observability, automation, and cost-optimization initiatives that improve reliability while reducing spend
Participate in on-call rotations, lead incident response and blameless postmortems, and prevent recurrence through automation and platform improvements.