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, we are seeking a Senior Staff Fullstack Engineer to join our Shared services team. We build core backend services that power the modernization of our identity security products - shared services that multiple domain teams depend on. We leverage AI throughout our development process, move fast, and ship often.
In this role, you will design and implement robust backend services using AWS serverless architecture while building modern web applications. Embedded within a collaborative, cross-functional team, you will embrace our AI-driven Software Development Life Cycle (ASDLC) to deliver high-performance, secure solutions.
We are looking for a passionate engineer with exceptional interpersonal skills to help us achieve our ambitious engineering goals.
Responsibilities:
Design and implement backend services in Python on AWS serverless infrastructure
Design and consume RESTful APIs connecting distributed microservices
Build modern web UIs using React and TypeScript
Leverage AI tools throughout the development lifecycle to accelerate delivery
Be a member of a highly talented cross-functional development team in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance
Collaborate with domain teams to define API contracts and integration patterns.

Responsibilities
Design, implement, and maintain our AWS serverless infrastructure using AWS CDK, ensuring high availability, scalability, and security.
Own and evolve our Jenkins-based CI/CD pipelines from code commit to production deployment, continuously improving speed and reliability.
Champion the use of AI-powered tools across the engineering lifecycle to reduce manual effort and improve quality.
Build and maintain comprehensive observability solutions using DataDog, including dashboards, monitors, and AI-assisted anomaly detection.
Continuously look for opportunities to improve and modernize developer workflows and incident response through smart tooling and automation.
Work hand-in-hand with fellow software engineers to design infrastructure that supports modern serverless patterns and event-driven architectures on AWS.
Drive a culture of automation and continuous improvement - if it can be automated or made smarter, do it.
Continuously evaluate and adopt emerging tools and technologies to improve the overall development, release, and operations process.

Join the Cortex team as a Principal Backend Engineer and own the backend strategy for our integrated detection and response engine. You will be responsible for transforming raw endpoint, network, and cloud data into actionable intelligence, using AI-driven techniques to dramatically reduce false positives and focus our defense on what truly matters: stopping the worlds most critical threats.
Key Responsibilities
backed by the massive scale and resources of a global leader, to architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
Integrate state-of-the-art AI technologies to transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.

Seeking a highly motivated IT Internal Audit Manager to join our global Corporate Internal Audit team, focusing on IT Risks, Processes, Controls, and Enterprise AI Governance. The role involves conducting audits and advisory engagements, developing AI solutions for process review, and assessing risks related to AI and IT systems to support the company's rapid transformation.
Key Responsibilities
Lead technology audit and advisory engagements across various domains, including cybersecurity, infrastructure, applications, data management, IT transformation, and AI-related risks while advising on practical ways to strengthen governance, resilience, and risk management.
Drive governance and oversight of technology programs and emerging AI risks, including model governance, data governance and quality, privacy, security, and responsible AI.
Develop and implement audit methodologies to assess risks across the entire AI lifecycle, including model design, validation, explainability (XAI), bias, and the security posture of Generative and Agentic AI systems-while ensuring compliance with emerging regulations, ethical guidelines, and industry best practices.
Drive the integration of AI risk management into existing technology audit domains by providing expert advice on control design.
Promote innovation within the internal audit function by applying new tools and techniques, such as agentic AI, data analytics, and automation.
Collaborate with cross-functional teams, including Privacy, IT, Engineering, Finance and Infosec, to identify and address audit observations with timely corrective actions.
Lead research on technology risks and controls to formulate recommendations for process improvements and innovation.

Were looking for a Team Leader who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.
What youll do:
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
Put special focus on developing the team
Provide technical authority to your team by demonstrating a hands-on leadership style
Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

We are looking for an experienced End-User Computing Specialist, to assist organizations on their journey to the digital workspace.
Our goal is to help organizations achieve the best user experience in the IT workspace. We strive to embrace the latest EUC technologies and to provide our customers with the best possible solutions for their users' workspace.
As the challenge of IT departments keeping up with their users' requirements is growing, more and more organizations are making their journey to the Digital Workspace. We are here for them to provide the guidance and experience we've gathered through the years in the IT industry.
We've built our team upon values such as quality and reliability and we are searching for someone who shares these values and seeking to be part of a growing and innovative company.
What you will do:
As a specialist, you'll have deep-dive hands-on experience with all matters related to End User Computing technologies. The specialist will lead EUC projects at a variety of organizations while delivering an end to end professional services (planning, installation, configuration, administration, and maintenance). As part of the specialist role, you'll be managing queries and issues escalated from customers.
Responsibilities
Plan and architect EUC solutions from the infrastructure level to the end-user device level
Integrate best practices, evolving technologies, and EUC platforms such as VDI, Terminal, DAAS workspaces, and overall Enterprise Mobility
Create High & Low-level design documents, including procedures documentation
Installation and configuration of EUC solutions as part of the project scope
Build work plans, setting deadlines for various projects, and lead them to execution
Testing new technologies, finding the appropriate use cases with the customer base, and leading POC activities
Keep up to date with EUC solutions using documentation and LAB tests, and maintain required certifications
Provide effective technical support and fault resolution with timely feedback to customers, adhering to Service Level Agreements
Provide maintenance activities as part of a scheduled maintenance window during business hours and non-business hours if required
Take ownership of patching and upgrade projects for EUC environments in various organizations

As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for our Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.

This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous 0 to 1 environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.


Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.

Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.

Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.

Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.

Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.

Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.

Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.

Document work clearly and share implementation details with team members to support continuity and knowledge sharing.

Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.

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.

The WSSI (Windows Silicon System Integration) team is looking for a Senior Silicon Designer to help design complex silicon subsystems that are part of advanced solutions delivered in Windows client products.
This is an opportunity for an excellent silicon engineer to take meaningful technical ownership in a dynamic, agile, and highly collaborative environment. You will work on advanced subsystem design spanning microarchitecture, RTL implementation, integration, and design quality, with close collaboration across architecture, verification, firmware, system engineering, and physical design teams.
The role focuses on complex security-oriented silicon subsystems. We are looking for someone who combines strong design fundamentals with curiosity, ownership, and the motivation to learn and apply modern techniques - including AI-assisted workflows - to improve silicon development productivity and quality.

Responsibilities
Own and drive microarchitecture and RTL design for complex silicon blocks and subsystems, translating architecture and system requirements into clean, efficient, and high-quality hardware implementations.
Collaborate closely with verification, firmware, system engineering, architecture, and physical design partners to define interfaces, debug complex issues, manage technical risks, and deliver robust silicon solutions.
Contribute to subsystem integration, design reviews, quality checks, synthesis readiness, timing considerations, and design handoff flows.
Explore and apply modern silicon development workflows, including AI-assisted techniques for design productivity, debug, documentation, and quality improvements.
Act as a technical leader within the team by mentoring others, raising the engineering bar, and helping drive execution in a fast-moving environment.

were looking for a User Acquisition Manager to join our growing team and drive success through search-based platforms.
This role requires expertise in Google App Campaigns, Apple Search Ads, and scaling successful mobile apps. If you thrive in a data-driven, fast-paced environment and are passionate about mobile app growth, wed love to hear from you!
Responsibilities:
Hands-on campaign management for search platforms like Google Ads (UAC), Apple Search Ads, and others.
Execute and manage multi-million dollar campaigns / large-scale campaigns for mobile apps across search-based platforms, ensuring optimal performance and ROI.
Develop and implement strategies for scaling successful apps while maintaining efficiency and achieving KPIs.
Create and analyze data-driven reports, drawing actionable insights to drive growth and improve results.
Conduct A/B testing to measure performance uplift and optimize conversion rates.
Monitor and optimize campaign performance based on data, trends, and industry benchmarks.
Stay up-to-date with developments in mobile advertising platforms and identify new growth opportunities.
Collaborate with the creative team to develop high-performing ad assets tailored to the platform and audience.

The team is responsible for developing and improving our Linux anti-malware prevention. This includes having top-notch knowledge about the latest malware families in the wild, Linux internals, different attack frameworks and hacktools. As part of this, the team analyzes customer data and issues to prevent malicious activities in our customer's environment, and help to improve the product.
Key Responsibilities
Research and analyze malware and keep up-to-date on the most recent tactics and techniques used in the wild
Create behavioral-based protection that enhances our product's coverage
Leverage Palo Alto Networks massive collection network to identify coverage gaps and emerging threats
Assist in the design, research, evaluation and implementation of new security technologies and features
Work in close coordination with other teams, including both development and other research teams, as well as support, sales and other cross-functional teams.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

Required Principal Engineer Software.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

we are looking for a Principal Security Solution Architect.
The role: own technical and market presence across EDR/XDR, SIEM, and SOAR, from evangelism and thought leadership through to customer engagements and won deals.
Reports directly to the CTO. This is a new practice built from zero, not a slot in an established team.
Responsibilities:
Build Detection & Response practice around EDR/XDR, SIEM, SOAR, and security data lake architectures, starting from nothing
Define and run the full presales cycle, from demos and POC scoping through to a signed architecture
Establish public voice in the category through conferences, meetups, and technical content
Feed field intelligence back to the CTO office to shape portfolio and services decisions
Create the reference accounts that make a leading cybersecurity partner in Israel