Palo Alto Networks Jobs in California
Palo Alto Networks jobs in California are among the most active in the country, concentrated in enterprise cybersecurity, cloud security, and network infrastructure across technology companies, financial services firms, and government contractors. The largest hiring hubs are Santa Clara, San Francisco, and Los Angeles, where anchor employers including Palo Alto Networks itself, Cisco, and Lockheed Martin maintain significant California operations. The most in-demand specialties are next-generation firewall implementation, Prisma Cloud configuration, and Cortex XSOAR engineering, with openings at every level from associate security engineer through principal architect. Find a role that fits below and apply directly.
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Showing 5 of 238+ Palo Alto Networks jobs
INTRODUCTION
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
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. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
JOB SUMMARY
Our Customer Support Tools team in IT at Palo Alto Networks is at the core of our business and is a true differentiator. We enable our employees and business to be successful, and our focus is on the next-generation of IT—cloud, mobile, and social. We are a team of disruptors, challenging the status quo and looking for new and better ways to solve problems. We are a team of doers, getting things done and driving change from the ground up. We are a team of partners, collaborating with the business to help them achieve their goals. We are a team that is passionate about our work and our mission. We are looking for like-minded individuals to join our team and help us continue to make a difference.
We are seeking a dynamic Staff AI Software Engineer to lead the design and delivery of our next-generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform, you will evolve our core architecture and drive our transition into AI-native engineering. As a technical leader, you will ensure our systems—including traditional microservices and emerging agentic workflows—are resilient, scalable, and innovative.
Key Responsibilities
- Drive the strategic architectural vision and deployment of high-quality, scalable software assets using Python and React, ensuring long-term alignment with enterprise architecture.
- Architect and govern advanced agentic systems using the Vertex AI Agent SDK (or alternative frameworks like LangChain / LangGraph) and A2A protocols to enable seamless interoperability between autonomous enterprise services.
- Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines to rigorously measure, monitor, and optimize LLM/agent performance across metrics like accuracy, safety, latency, and cost.
- Define the organizational strategy and architecture for data retrieval pipelines, ensuring scalable and optimized utilization of vector embeddings, semantic search, and similarity-based retrieval patterns.
- Establish enterprise-wide prompt engineering standards and LLM security frameworks, safeguarding applications against vulnerabilities such as prompt injection through robust input/output validation models.
- Standardize and scale Model Context Protocol (MCP) servers to effectively bridge core enterprise IT data with LLM-driven applications across business units.
- Partner closely with technical executives, product management, and cross-functional engineering teams to align AI initiatives with overarching business objectives and drive high-impact results.
- Mentor and cultivate technical leaders and engineers across the organization, fostering a culture of excellence, applied learning, and accountability in full-stack and AI domains.
- Take ultimate accountability for cross-team project outcomes, ensuring AI and software solutions meet rigorous enterprise-grade standards for security, quality, and performance.
QUALIFICATIONS
- Minimum of 9 years of related experience with a Bachelor's degree in Computer Science or a related field, or equivalent military experience.
- 9+ years of professional experience in backend development with Python, utilizing frameworks like Django or FastAPI to design and build fault-tolerant microservice architectures.
- Proven track record of architecting, deploying, and scaling production-grade Generative AI and LLM-powered applications.
- Hands-on experience with LLM orchestration and agentic frameworks (e.g., LangChain, LangGraph, or native cloud Agent SDKs).
- Deep technical expertise in RAG architectures, including vector embeddings, semantic search, and working with vector databases.
- Demonstrated experience implementing LLM guardrails, prompt injection defenses, and robust AI evaluation (Evals) workflows.
- Demonstrated expertise in frontend development with JavaScript, TypeScript, and React.
- Expert-level proficiency in containerization and orchestration using Docker and Kubernetes (GKE).
- Proven track record of architecting and delivering enterprise-grade software solutions from concept to production at scale.
PREFERRED QUALIFICATIONS
- Deep, hands-on experience with Google Cloud Platform, particularly Google Vertex AI.
- Production-level knowledge of Agent SDK, LangChain, or LangGraph frameworks, as well as A2A protocols and the implementation of MCP servers.
- Experience integrating and scaling Agentic IDEs (e.g., Cursor, Windsurf) within professional development workflows.
- Master's degree or PhD in Computer Science or a related field.
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 the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$145,000.00 - $235,500.00/yr
OUR COMMITMENT
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes
LOCATION
Santa Clara, California, United States
IT Ref ID: JR-017690
INTRODUCTION
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
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. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
JOB SUMMARY
Our Customer Support Tools team in IT at Palo Alto Networks is at the core of our business and is a true differentiator. We enable our employees and business to be successful, and our focus is on the next-generation of IT—cloud, mobile, and social. We are a team of disruptors, challenging the status quo and looking for new and better ways to solve problems. We are a team of doers, getting things done and driving change from the ground up. We are a team of partners, collaborating with the business to help them achieve their goals. We are a team that is passionate about our work and our mission. We are looking for like-minded individuals to join our team and help us continue to make a difference.
We are seeking a dynamic Staff AI Software Engineer to lead the design and delivery of our next-generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform, you will evolve our core architecture and drive our transition into AI-native engineering. As a technical leader, you will ensure our systems—including traditional microservices and emerging agentic workflows—are resilient, scalable, and innovative.
Key Responsibilities
- Drive the strategic architectural vision and deployment of high-quality, scalable software assets using Python and React, ensuring long-term alignment with enterprise architecture.
- Architect and govern advanced agentic systems using the Vertex AI Agent SDK (or alternative frameworks like LangChain / LangGraph) and A2A protocols to enable seamless interoperability between autonomous enterprise services.
- Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines to rigorously measure, monitor, and optimize LLM/agent performance across metrics like accuracy, safety, latency, and cost.
- Define the organizational strategy and architecture for data retrieval pipelines, ensuring scalable and optimized utilization of vector embeddings, semantic search, and similarity-based retrieval patterns.
- Establish enterprise-wide prompt engineering standards and LLM security frameworks, safeguarding applications against vulnerabilities such as prompt injection through robust input/output validation models.
- Standardize and scale Model Context Protocol (MCP) servers to effectively bridge core enterprise IT data with LLM-driven applications across business units.
- Partner closely with technical executives, product management, and cross-functional engineering teams to align AI initiatives with overarching business objectives and drive high-impact results.
- Mentor and cultivate technical leaders and engineers across the organization, fostering a culture of excellence, applied learning, and accountability in full-stack and AI domains.
- Take ultimate accountability for cross-team project outcomes, ensuring AI and software solutions meet rigorous enterprise-grade standards for security, quality, and performance.
QUALIFICATIONS
- Minimum of 9 years of related experience with a Bachelor's degree in Computer Science or a related field, or equivalent military experience.
- 9+ years of professional experience in backend development with Python, utilizing frameworks like Django or FastAPI to design and build fault-tolerant microservice architectures.
- Proven track record of architecting, deploying, and scaling production-grade Generative AI and LLM-powered applications.
- Hands-on experience with LLM orchestration and agentic frameworks (e.g., LangChain, LangGraph, or native cloud Agent SDKs).
- Deep technical expertise in RAG architectures, including vector embeddings, semantic search, and working with vector databases.
- Demonstrated experience implementing LLM guardrails, prompt injection defenses, and robust AI evaluation (Evals) workflows.
- Demonstrated expertise in frontend development with JavaScript, TypeScript, and React.
- Expert-level proficiency in containerization and orchestration using Docker and Kubernetes (GKE).
- Proven track record of architecting and delivering enterprise-grade software solutions from concept to production at scale.
PREFERRED QUALIFICATIONS
- Deep, hands-on experience with Google Cloud Platform, particularly Google Vertex AI.
- Production-level knowledge of Agent SDK, LangChain, or LangGraph frameworks, as well as A2A protocols and the implementation of MCP servers.
- Experience integrating and scaling Agentic IDEs (e.g., Cursor, Windsurf) within professional development workflows.
- Master's degree or PhD in Computer Science or a related field.
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 the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$145,000.00 - $235,500.00/yr
OUR COMMITMENT
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes
LOCATION
Santa Clara, California, United States
IT Ref ID: JR-017690
See All 238+ Palo Alto Networks Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Palo Alto Networks JobsPalo Alto Networks Jobs by City in California
Where California roles are concentrated, by current openings.
Palo Alto Networks Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Palo Alto Networks230
- AppLovin2
- Xai2
- Clockwork Systems1
- Frosted Inc. D/B/A Whop1
Top Industries Hiring
- Technology & Software236
- Agriculture & Farming160
- Cybersecurity16
- Banking & Financial Services1
- Gaming & Esports1
What California Employers Look For
The qualifications that appear most often in palo alto networks jobs across California.
- Active Palo Alto Networks PCNSE certification recognized by California enterprise hiring teams
- Three or more years configuring and managing Palo Alto Networks firewalls and Panorama
- Hands-on experience with Prisma Access, Prisma Cloud, or Cortex XDR platforms
- Demonstrated ability to design zero-trust network segmentation for large-scale environments
- Familiarity with California data privacy requirements including CCPA compliance frameworks
- Bachelor's degree in computer science, information security, or a closely related technical field
Palo Alto Networks Jobs in California: Frequently Asked Questions
How do you become a palo alto networks professional in California?
The standard California path starts with an information security or networking foundation, typically a bachelor's degree in computer science or a related field, followed by the Palo Alto Networks Certified Network Security Engineer (PCNSE) certification, which is the credential California employers consistently require. California has no state-issued license for this role, so the PCNSE combined with hands-on lab experience using the Palo Alto Networks firewall and cloud platforms is what hiring managers here look for.
Which companies hire palo alto networks professionals in California?
Employers hiring palo alto networks professionals in California right now include Palo Alto Networks, AppLovin, and Xai, based on current listings on Migrate Mate as of June 2026. California's density of technology headquarters, defense contractors, and regulated financial institutions makes it one of the most consistent states for sustained palo alto networks hiring year-round.
Which California cities have the most palo alto networks jobs?
Santa Clara, Headquarters, and San Francisco consistently post the most palo alto networks openings in California. Santa Clara and San Francisco dominate because the company's own headquarters and a dense cluster of enterprise technology and cybersecurity vendors are based there, while Los Angeles draws volume from its large defense, entertainment, and financial services employers who run substantial Palo Alto Networks infrastructure.
Are there remote palo alto networks jobs in California?
Yes, and more than most technical fields. About 14% of palo alto networks openings tied to California are remote or hybrid as of June 2026, reflecting how much of the configuration, policy management, and threat analysis work can be done outside a physical office. The roles most consistently offered remotely are Panorama administration, Prisma Cloud security posture management, and Cortex XSOAR playbook development.
How can I get hired as a palo alto networks professional in California with little or no experience?
The most realistic entry path is a junior security analyst or network operations center role at a California managed security service provider, where you gain supervised exposure to Palo Alto Networks platforms before moving into a dedicated engineer position. Large California employers including defense contractors in the Los Angeles area and enterprise technology firms in Silicon Valley run associate security engineer programs that accept candidates holding the entry-level Palo Alto Networks Certified Cybersecurity Associate (PCCSA) credential, which is achievable before your first job. Building a home lab using the Palo Alto Networks free virtual firewall image and documenting your configurations in a GitHub portfolio gives California hiring managers something concrete to evaluate.
Where can I find and apply to palo alto networks jobs in California?
You can find and apply to palo alto networks jobs in California on Migrate Mate, which lists current California openings across the state's major hiring hubs and industries. Search the listings, find roles that match your experience and location, and apply directly to the employers posting them.
See All 238+ Palo Alto Networks Jobs in California
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