דרושים Chief Security Officer ב-United States

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

Architect/Sr. Principal Engineer, Backend - Cortex Cloud (Posture Security)

Your Impact

• Lead the architectural vision and design for complex, large-scale backend systems and microservices that form the backbone of our Cortex Cloud Posture Security offerings.

• Develop and implement high-quality, resilient, and scalable backend services primarily using Go and Python.

• Drive system design discussions and decisions, ensuring solutions meet current Posture Security needs while being adaptable for future growth and technological advancements in cloud security.

• Collaborate closely with cross-functional teams, including product management, frontend engineers, security researchers, and SRE, to define, design, and ship new features and platform enhancements for Cortex Cloud Posture Security.

• Mentor and guide senior and junior engineers, fostering a culture of technical excellence, innovation, and continuous learning within the Posture Security team.

• Define and evangelize best practices for backend development, testing, and deployment within the organization, particularly as they apply to cloud-native security solutions.

• Analyze and resolve complex technical challenges and production issues, ensuring the reliability and performance of our Cortex Cloud Posture Security services.

• Contribute to and lead code reviews, design reviews, and architectural reviews related to Posture Security components.

• Stay abreast of emerging technologies and industry trends in cloud security, backend development, and posture management, evaluating and recommending their adoption where appropriate.

• Optionally, leverage your understanding of UI development and user experience to contribute to a more holistic product design and improved collaboration with frontend teams working on the Cortex Cloud interface.

Your Experience

• 10+ years of experience in backend software development, with a proven track record of designing and delivering complex, distributed systems, preferably in a cloud security context.

• Deep expertise in Go and/or Python for backend development.

• Strong understanding of software architecture principles, including microservices, event-driven architecture, and distributed systems patterns.

• Proven experience with system design, data modeling, and API design (RESTful, gRPC).

• Experience with various database technologies (SQL and NoSQL), message queues (e.g., Kafka, RabbitMQ), and caching solutions.

• Solid understanding of cloud platforms (GCP, AWS, or Azure) and containerization technologies (Docker, Kubernetes), with a strong emphasis on security best practices within these environments.

• Demonstrated ability to lead technical projects and mentor engineers.

• Excellent problem-solving, analytical, and troubleshooting skills.

• Strong communication and collaboration abilities, with a knack for explaining complex technical concepts to diverse audiences.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to Have

• Understanding of UI technologies (e.g., React, Angular, Vue.js) and how backend systems support frontend applications for displaying complex security data.

• Deep experience with cybersecurity, specifically Cloud Security Posture Management (CSPM), Cloud Workload Protection Platforms (CWPP), or related cloud security domains.

• Contributions to open-source projects related to cloud security or backend infrastructure.

• Experience with Infrastructure as Code (IaC) tools like Terraform.

• Familiarity with compliance frameworks (e.g., CIS, NIST, SOC2) and their implications for cloud security products.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $225,000 - 250,000. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Key Responsibilities

As a Distinguished Engineer, you will own the long-term technical direction and execution for all data and analytics infrastructure within Saas Data Security and AI.

I. Architecture & Strategic Vision

• Define Architectural Roadmap : Set the 3-5 year technical strategy and architectural vision for the Enterprise DLP data platform, emphasizing scalability, performance, security, and cost-efficiency
• Big Data & AI Foundation : Drive the design, implementation, scaling, and evangelism of the core BigQuery, Vertex AI, Nvidia Triton, Kubeflow platform components that enable high-velocity data ingestion, transformation, and Machine Learning model serving for DLP detections
• Real-time Decisioning: Architect and implement ultra-low latency data ingestion and processing systems (utilizing Kafka, Pub/Sub, Dataflow) to enable real-time DLP policy enforcement and alert generation at massive enterprise scale
• Cross-Functional Influence : Act as the technical voice of the DLP data platform, collaborating with Engineering VPs, Product Management, and Data Science teams to align platform capabilities with product innovation

II. High-Scale Data Platform Engineering

• Big Data Pipeline Mastery : Architect and Lead the design and implementation of highly resilient, optimized batch and real-time data pipelines (ETL/ELT) to transform raw data streams into high-quality, actionable datasets
• Optimized Dataset s: Expertly design and optimize clean, well-structured analytical datasets within BigQuery, focusing on partitioning, clustering, and schema evolution to maximize query performance for both operational analytics and complex data science/ML feature generation
• Database Strategy: Provide deep, hands-on expertise in both SQL and NoSQL databases like MongoDB, Spanner, BigQuery, advising on the optimal data persistence layer for diverse DLP data use cases (e.g., policy configurations, high-speed telemetry, analytical fact tables)
• MLOps Implementation : Establish robust MLOps practices model deployment & execution pipelines like Vertex AI, Nvidia Triton for DLP models, including automated pipelines for continuous training, versioning, deployment, and monitoring of model drift
• Performance Engineering : Debug, optimize, and tune the most challenging performance bottlenecks across the entire data platform, from initial data ingestion to final analytics query execution, often dealing with PBs of data

III. Mentorship & Operational Excellence

• Technical Mentorship : Mentor and develop Principal and Staff-level engineers, raising the bar for engineering craftsmanship and data platform development across the organization
• Operational Health : Define and implement advanced observability, monitoring, and alerting strategies to ensure the end-to-end health and SLOs of the mission-critical DLP data service

Preferred Qualifications

• 12+ years of experience in a high-scale data-intensive environment, with a minimum of 3+ years operating as a Distinguished or Principal-level Engineer/Architect
• Mastery of Google Cloud Platform (GCP) with extensive, hands-on experience architecting and scaling solutions using BigQuery and Vertex AI or equivalent AWS, Azure, or other Big Data & AI services
• Expertise in Big Data processing frameworks and managed services, specifically with building and scaling data and analytics pipelines using Dataflow, Pub/Sub, and GKE (or equivalent technologies like Apache Spark/Kafka)
• Strong experience in SQL & NoSQL databases (e.g., MongoDB, Cassandra, Spanner), with an understanding of their respective architectural trade-offs for distributed systems
• Demonstrated ability to design scalable data models and systems that enable high-precision
• Proven ability to build and optimize clean, well-structured analytical datasets for large-scale business and data science use cases
• Demonstrated experience in implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics
• Prior experience in the security domain (especially DLP, Data Security, or Cloud Security) is a significant advantage
• Exceptional ability to influence technical and business leaders, translating ambiguous problems into clear, executable technical designs
• BS/MS in Computer Science or Electrical Engineering or equivalent experience or equivalent military experience required

Salary Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $230,000/YR - $300,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Collaborate with product managers, cybersecurity researchers, AI application researchers and infrastructure software engineers
• Design and build an innovative and solid products to ensure our customers can use AI service securely
• Participate in all phases of the product development cycle, from definition, design, through implementation and test
• Implement real-time security services to customers
• Work with PLM on new feature requirement
• Work with QA and DevOps on new release deployment

Your Experience

• Solid golang/python programming skills
• Solid knowledge on HTTP 1.1/HTTP2 protocols and gRPC
• Profound knowledge on web service proxy technology especially on envoy and web assembly
• Experience in designing large distributed system and web services in the cloud
• Deep knowledge in GCP platform is a plus
• Familiar with major CSP LLM foundation models is a plus
• The candidate should be a good problem solver
• Master's degree in computer science or equivalent or equivalent military experience required

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Define and drive the product vision, strategy and roadmap for our Data Security product line

• Conduct market research, competitive analysis and customer feedback to inform product decisions

• Collaborate with design and engineering teams to develop product prototypes and interfaces

• Work closely with data scientists and ML engineers to develop and integrate ML algorithms into the Data Security product lines

• Create and maintain product documentation, including user guides, training materials and release notes

• Monitor product performance and customer feedback to inform product improvements and updates

• Work across functional agile teams (Engineering, UX, customer support, operations, finance, sales and marketing)

• Identify technology partners and drive integration into market leading product

• Drive joint sales (SKUs, solution bundles, incentives) and marketing (collaterals, webinars, trade shows) models with cross-functional teams within and partners

Your Experience

• BS/MS in Computer Science, Engineering or a related field

• MBA is desirable

• 3 years in product management

• Strong understanding of network security principles and solutions

• Client-facing experience through previous product work or customer success roles

• Strong technical background with experience working with data scientists and ML engineers

• Strong understanding of user experience design principles and methodologies

• Excellent communications and collaboration skills, with experience working with cross-functional teams

• Strong analytical and problem-solving skills, with experience using data to inform product decisions

• Experience working in an Agile development environment

• Experience launching cloud products and services

• Demonstrable track record of success

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $148,700 - $240,525/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Demonstrate high ownership and accountability across deliverables
• Provide technical leadership and drive end-to-end solution delivery in a fast-paced environment
• Design, implement, and troubleshoot cutting-edge cloud security solutions
• Contribute hands-on to next-generation cloud security architecture
• Participate in all phases of the product development lifecycle: definition → design → implementation → testing
• Champion best practices around code quality, scalability, performance, and system design
• Foster innovation across the organization
• Recruit, onboard, and mentor new team members

Your Experience

• Strong team player with excellent coding, analytical, and problem-solving skills
• Proven hands-on experience building large-scale, distributed cloud systems
• Strong proficiency in Golang or Python
• Experience with NoSQL/SQL databases
• Familiarity with event-driven architectures and messaging systems such as Kafka or RabbitMQ
• Backend development expertise (REST APIs, databases, serverless) for distributed cloud services
• Deep knowledge of Docker and the Kubernetes ecosystem
• Experience with Infrastructure as Code (IaC) tools like Terraform
• Solid understanding of CI/CD pipelines
• Strong understanding of public cloud architecture (security, microservices, networking, global infrastructure, load balancing)
• Strong cloud troubleshooting skills
• Working knowledge of TCP/IP and core networking fundamentals is a plus
• Experience deploying on AWS, Azure, or GCP
• B.S./M.S. in Computer Science (or equivalent) with 8+ years of relevant experience
• High energy, adaptability, and a can-do attitude in a dynamic environment

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $147,000 - $237,500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

This role reports to Devops Director, Cortex product

You will be expected to be versed in the technical domains and be able to engage with an experienced cross-disciplinary staff . We are looking for someone with strong critical thinking and analytical skills, who is a self-starter, a great communicator and has demonstrated ability to build consensus at all levels, and is passionate about driving change in a dynamic fast-paced environment.

Your Impact

• Work closely with DevOps, SRE and platform engineering teams to orchestrate end-to-end delivery of complex infrastructure and product capabilities across multiple services and environments.

• Serve as the primary integration point between DevOps and development teams, ensuring smooth alignment on architecture, deployment models, CI/CD processes, reliability targets, and production readiness.

• Partner with product management to translate high-level requirements into technical execution plans, define realistic timelines, and track cross-team commitments.

• Maintain a system-level understanding of all moving parts: production change process, infra upgrades, migrations, capacity plans and rollout constraints.

• Identify and flag technical dependencies early, particularly those affecting infrastructure, deployment flows, monitoring, and scaling requirements.

• Drive and define change-management processes: release planning, rollout strategies, maintenance windows, gating criteria, risk assessments, observability readiness, and post-launch validations.

• Coordinate sprint plans, milestones, and execution cycles across DevOps and development organizations, ensuring teams deliver aligned increments that fit into broader program roadmaps.

• Provide regular communication to senior engineering leadership on execution status, blockers, architectural risks, and operational concerns.

• Work hand-in-hand with technical leads/architects to understand deep technical topics such as Kubernetes upgrades, multi-region deployments, data-store migrations, networking changes, or infra cost optimizations.

Your Experience

• 8+ years of engineering or technical program management experience, including 4+ years managing cross-functional infra/DevOps delivery programs at scale.
  

• Deep, hands-on understanding of SaaS DevOps domains: release orchestration, multi-region deployments, environment promotion flows, maintenance windows, incident lifecycle, change-management, and production readiness standards.
  

• Strong familiarity with Agile methodologies, sprint/iteration planning, and running large cross-team delivery cycles across infra and development organizations.
  

• Demonstrated ability to work with engineering teams to translate product and architectural requirements into detailed technical execution plans, functional specifications, test/validation criteria, and deployment strategies.
  

• Comfortable presenting program status, architecture risks, and operational considerations to SVP/VP-level leaders; able to convert complex technical execution into clear, actionable communication.

• Bachelor’s/Master’s degree in a technical discipline (Computer Science, Software Engineering, Information Systems)

• Hands-on experience with JIRA and Confluence.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

We’re looking for a Program Manager to drive operational excellence, process innovation, and strategic program management for the Global Security Architecture Practice. In this role, you won’t just manage processes; you will engineer the operating system of the future for our practice. You will design, build, and manage the business processes that enable our Principal Architects to scale. This role is responsible for transforming the Palo Alto Networks’ collective security and innovation expertise into AI-driven consulting methodologies and assets that drive consistency, efficiency, and quality in all of GSAP’s client engagements.

You’ll partner closely with the Principal Architects and their leadership, as well as cross-functional teams including Sales and Technical Solutions, Product Management, Enterprise Security, and Unit42 consultants. Through these partnerships you will develop intellectual property, programs, and processes that help our Architects do their work.

Key Responsibilities

• Program Management & Enablement:

  • Build and maintain structure to define our formal partnership with Enterprise Security and Product Management, ensure that interactions are regular and substantive, and information sharing is structured, consistent, and bi-directional.

  • Own and execute the CoE's operating cadence, including the quarterly review of all library assets and the intake process for new contributions.

  • Drive adoption of CoE tools and methodologies across the global GSAP team through clear communications, training, and a strong feedback loop.

• Practice Development & Content Curation:

  • Partner with senior architects to translate their expertise into high-quality, reusable assets including templates and accelerators, standardized presentations, and strategic playbooks that are designed to be populated and customized by AI.

  • Implement a dynamic content strategy where advisory assets are easily updated and synthesized by AI tools.

  • Own and manage the central IP library ensuring all content is organized, current, and easy to access for both the Architects and AI agents.

• Process Creation, Improvement & Management:

• Implement systems to support clear, organized knowledge-sharing (e.g., permissioned Google Drive structures, audience-specific distribution lists) that scale across regional and functional teams.

• Engineer AI-native workflows by evaluating processes through a lens of automation, designing systems where AI is the primary engine of execution.

• Identify process gaps and operational inefficiencies, deploying human-in-the-loop solutions that maximize speed and free up Architects for deep-dive strategic work.

• Implement systems for knowledge sharing that capture "tribal knowledge" and automatically convert it into institutional assets.

Your Experience

• Experience in a management consulting, practice operations, business analyst, or technical program management role, preferably within a professional services or enterprise technology organization.

• Fluency in AI-driven operations, with the ability to view AI and automation as strategic levers that fundamentally change the reach and velocity of a practice.

• Exceptional organizational and project management skills; able to manage multiple complex projects and a library of assets with rigor and attention to detail.

• An excellent communicator and influencer who is passionate about training others and driving the adoption of new tools and processes.

• An understanding of the cybersecurity landscape is a major plus, but deep, practitioner-level security expertise is not required.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $142,000 - $206,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.