דרושים Full Stack Software Developer ב-Palo Alto ב-ארהב

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.

Job Summary

We are looking for a proven first-line sales leader with great energy, leadership, and initiative to drive team performance and revenue growth for our sales team. This role will entail:

• Deeply understanding your customers’ needs by doing the research to develop insight into their priorities
• Bring support to your team by participating in and leading prospect meetings
• Deep dive into weekly territory pipeline and forecasting activities to coach direct reports on strategies to drive closure
• Actively engage in territory planning and development, relationship development and opportunity to drive revenue by supporting and assisting your team in closing opportunities
• Lead a high-performance sales culture that delivers results in bookings, sales development, and forecast accuracy while simultaneously mentoring and developing your team
• In-depth technical knowledge of our portfolio with the ability to take a holistic approach to help solve our customers' problems
• Drive and oversee team selling opportunities
• Holds team and self accountable to achieve challenging goals while maintaining a forward-thinking approach when faced with setbacks
• Ability to communicate with leaders at all levels, including C-suite and establishes open and trusting relationships
• Successfully influences others through change management
• Development of a winning team, including recruiting, hiring and training while upholding our core values.

Preferred Qualifications

• Experience and knowledge of SaaS-based architectures, ideally in a networking and/or security industry
• Experience with channel and partner sales models
• Proven leader with the ability to create high performing teams in a rapidly growing sales environment
• Year over year track record of successful sales pipeline management and results
• Highly driven individual with an execution focus and a strong sense of urgency with an entrepreneurial mindset
• Track record of consistently delivering revenue numbers and goals while maintaining a focus on team development and growth
• Capable of successfully managing significant client escalations and issues
• Excellent at influencing others, both externally and internally; ability to communicate effectively and build consensus across various functional groups to achieve goals
• You're a leader and you know that to get the best results, you also have to be a great team player, building excellent rapport and collaboration with cross-functional teams

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 $332400/YR - $457050/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.

This role may require travel to and from Palo Alto Networks, Inc. business meetings and events and requires reliable transportation to do so. If a hire chooses to drive in connection with company business, the hire for this role must maintain a valid driver’s license.

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.

Key Responsibilities

• Design and build innovative, scalable software products to ensure our customers can use AI securely
• Own new features/functionality from start to finish. Participate in all phases of the product development cycle, from definition, design, through implementation and test. Ensure that applications are production-ready, scalable, and reliable
• Collaborate with product managers, frontend software engineers, product designers, and infrastructure engineers to shape the future of Prisma AIRS Model Security
• Operate production services with hundreds of enterprise customers as a true owner, ensuring that Prisma AIRS customers experience top-notch reliability, availability, and performance
• Develop expertise in new technologies and keep up with the rapidly evolving AI security landscape

Preferred Qualifications

• Expertise in at least one programming language such as modern Python (type hints, Pydantic, etc), Go, Java, C#, or C++
• 8+ years experience in designing large distributed system and web services in the cloud
• Experience writing comprehensive unit, integration, and end-to-end tests
• Experience with a major cloud provider like GCP (preferred), AWS, or Azure
• Experience with CI/CD pipelines, GitLab, and Grafana is a plus
• Experience partnering with front end engineers (collaborate on schema required to power a UI, for example) is a plus
• Excellent written and verbal communication, able to collaborate and convey ideas effectively
• Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive
• Ready to understand and dissect new technology stacks quickly
• Excited about working in an agile and fast paced environment.
• BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience

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 $147000/YR - $237500/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.

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.

Key Responsibilities

• Design and build innovative, scalable software products to ensure our customers can use AI securely
• Own new features/functionality from start to finish. Participate in all phases of the product development cycle, from definition, design, through implementation and test. Ensure that applications are production-ready, scalable, and reliable
• Collaborate with product managers, frontend software engineers, product designers, and infrastructure engineers to shape the future of Prisma AIRS Model Security
• Operate production services with hundreds of enterprise customers as a true owner, ensuring that Prisma AIRS customers experience top-notch reliability, availability, and performance
• Develop expertise in new technologies and keep up with the rapidly evolving AI security landscape

Preferred Qualifications

• Expertise in at least one programming language such as modern Python (type hints, Pydantic, etc), Go, Java, C#, or C++
• 8+ years experience in designing large distributed system and web services in the cloud
• Experience writing comprehensive unit, integration, and end-to-end tests
• Experience with a major cloud provider like GCP (preferred), AWS, or Azure
• Experience with CI/CD pipelines, GitLab, and Grafana is a plus
• Experience partnering with front end engineers (collaborate on schema required to power a UI, for example) is a plus
• Excellent written and verbal communication, able to collaborate and convey ideas effectively
• Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive
• Ready to understand and dissect new technology stacks quickly
• Excited about working in an agile and fast paced environment.
• BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience

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 $147000/YR - $237500/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

As a Principal Engineer, you will be an innovator who can challenge the status quo, thrive in a fast-paced environment, and architect elegant solutions to complex platform-level problems. You will have a massive impact on thousands of engineers by shaping the technical direction of the team and mentoring other engineers to foster a culture of engineering excellence.

This role is located at our dynamic Santa Clara, California headquarters campus.

Your Impact

• You will be responsible for building the next generation of platforms that accelerate product development across the company. The core problems we are solving are foundational and will have a massive impact. If these challenges excite you, you are a great fit for our team.

• Simplify and Automate Onboarding: Design and implement streamlined platforms to radically simplify new customer and new region onboarding, reducing time-to-value and operational complexity.

• Build a Scalable Workflow Service: Own the creation and operation of a "Workflow as a Service" platform, providing reliable, scalable orchestration for various product teams by running technologies like multi-tenant Temporal at scale.

• Champion Cost Optimization: Develop a Central Cost Platform that provides a holistic inventory service, enabling product teams to "shift-left" on cost awareness, eliminate unnecessary infrastructure spending, and auto-remediate regressions.

• Deliver Agentic Compute as a Service: Create a robust agentic compute platform for running standalone agents, providing a secure and vetted environment with managed control plane servers for various agentic workloads.

Your Experience

• We are looking for someone who cares deeply about the technical development of other engineers and can effectively balance the needs of the business, our users, and the growth of our engineers.

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

• 7+ years of software engineering experience, with a strong background in building large-scale, distributed systems.

• Proven track record of building SaaS applications and being part of several SaaS release cycles.

• Strong proficiency in at least one of the following languages: Go, Python, or Java, with a proven ability to pick up a new language with ease.

• Deep experience with cloud-native technologies including containerization (Docker) and microservices architecture.

• Decent understanding of core distributed systems principles. You should have an ability to continuously map problems to first principles.

• Familiarity with modern SaaS release models, including feature flags.

• Extensive hands-on experience with at least one major cloud platform (GCP or AWS) is strongly recommended.

• Demonstrated experience mentoring at least two engineers in their career, providing technical guidance, and helping them achieve promotion.

• Excellent problem-solving skills and the ability to troubleshoot complex issues in a distributed environment.

• Strong communication skills and the ability to work collaboratively across teams.

Nice to Have

• Hands-on experience with Kubernetes. Since we are a platform team and use it extensively, deep K8s knowledge will help you stand out.

• Familiarity with agentic infrastructure and a basic curiosity on how to build and manage intelligent agents.

• Experience building applications with temporal.

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 $173,000 - $230,000/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 Career

As a Principal AI Engineer for the Enterprise AI Platform, you will be a pivotal technical leader driving the identification, design, and hands-on implementation of AI-powered solutions that directly address critical business challenges across IT and all enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will operate where AI innovation, top-tier engineering, and significant business outcomes converge, acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform, you will translate ambiguous problems into concrete AI solution designs, build core components of these solutions, and ensure their successful deployment and measurable impact, supporting both code-based and low-code/no-code approaches.

Your Impact

• Applied AI Solution Design & Architecture: Deeply understand complex business problems and strategic objectives across various enterprise functions. Break down ambiguous AI problems into concrete, actionable AI solution designs, including identifying the appropriate AI models, data requirements, and integration points for end-to-end AI applications
• Hands-on Development & Implementation: Lead the hands-on development and implementation of key components of the AI assistant, agent, app, supporting both traditional and Generative AI model development, deployment, and real-time inference systems. Drive the successful integration of experimental AI technologies into production, showcasing tangible business value through rapid prototyping and measurable results
• System Design & Optimization: Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, security, and developer-friendliness. Optimize existing systems for scalability, efficiency, and maintainability, ensuring the platform's ability to handle massive scale data and inference requests, optimizing for low latency and high throughput for real-time AI applications
• Rapid Experimentation & Integration: Evaluate and integrate new AI tools, frameworks, SDKs, and cloud solutions into the platform, ensuring alignment with architectural strategy and engineering needs. Lead proof-of-concepts (POCs) for emerging AI innovations and drive their integration into production through long-term architectural evolution
• Architectural Adherence & Best Practices: Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI assistants, agents, and applications across various teams
• Technical Leadership & Mentorship: Provide technical leadership and mentorship to other AI and ML engineers, fostering a culture of engineering excellence, innovation, and hands-on experimentation within the team and across the company
• Cross-Functional Collaboration: Partner effectively with executive leadership, data science teams, engineering, product stakeholders, and business leaders to translate complex business use-cases into scalable, production-grade AI solutions. Act as a go-to expert for complex AI engineering challenges, providing technical guidance and hands-on support
• Responsible AI & Governance: Implement features and practices that ensure AI systems comply with responsible AI principles, data governance, privacy laws, security policies, and ethical AI frameworks.
• Innovation & Research: Actively learn and incorporate advances in Agents, Generative AI, LLMs, and scalable AI architectures. Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models (e.g., foundation models, multi-modal AI) to identify opportunities for platform enhancement and new solution development
• MLOps and Automation: Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring, to streamline the AI lifecycle. Design and implement automated testing strategies for AI models and platform components to ensure model quality, robustness, and drift detection

Your Experience

• 10+ years of experience in software engineering, distributed systems, or enterprise architecture, including at least 5 years focused on leading AI/ML engineering or platform development
• Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications, ideally across multiple domains (e.g., customer support, finance, sales)
• Deep practical understanding of the full AI lifecycle for developing assistants, agents, and applications, including feature engineering, RAGs, model training, evaluation, validation, deployment, and monitoring
• Extensive hands-on experience with distributed systems architecture, streaming data platforms, data lakes, and real-time decision engines
• Generative AI & Large Language Models (LLMs): Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), multi-modal models, RAGs (Retrieval-Augmented Generation), and agentic AI systems. Familiarity with techniques for LLM alignment, fine-tuning, and responsible deployment
• Proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX) and cloud AI/ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform/Vertex AI, Azure ML)
• Strong programming skills in languages such as Python, Java, or Go
• Excellent communication skills with a track record of influencing technical and cross-functional stakeholders at VP+ levels
• System-Level Thinking: Demonstrated ability to think at a system level, understanding complex interdependencies within distributed AI architectures and optimizing end-to-end performance

Preferred Qualifications

• Master's degree or Ph.D. in Computer Science, Machine Learning, or a related technical field or equivalent military experience required
• Experience contributing to open-source AI projects or publications in top-tier AI conferences
• Prior experience in a technical consulting or solutions architecture role, bridging technical teams and senior business stakeholders
• Deep understanding of cybersecurity principles as they apply to AI systems

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 $179000/YR - $290500/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

Threat Detection Engineer (Threat Data Platform)

Your Impact

• This role bridges security research and fundamental software implementation

• You will be responsible as subject matter experts to interpret threat intelligence from both automated systems and machine learning.

• You will also be creating the software modules that generate indicator lists, measure indicator quality, and gauge the quality of intelligence ingested.

• The Threat Data Platform is the keystone for intelligence production and dissemination; you are its steward

Your Experience

• Demonstrable expertise in an operational security role - soc analysis, reverse engineering, threat intelligence monitoring and/or creation

• Experience interpreting logs from commercial security products

• Deep understanding of sandbox technologies; how they work and interpreting their reports

• Passion for using automation to enable workflows and automate your day to day tasks

• Expert experience in python is a must

• Strong understanding of fundamental software design for data access and processing larger datasets (REST/SQL/BQ/Mongo/etc…)

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 $149,000 - $204,000/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.