Palo Alto Networks Green Card Visa Sponsorship Jobs USA
Palo Alto Networks is one of the most active Green Card sponsors in the Technology & Software industry, regularly filing for engineers, security researchers, and technical specialists. Its consistent sponsorship record makes it a strong target for international candidates building a long-term career in the U.S.
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Get Access To All JobsINTRODUCTION
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
Job Roles at Palo Alto Networks
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Get Access To All JobsTips for Finding Palo Alto Networks Green Card Jobs
Target roles with the clearest sponsorship track record
Palo Alto Networks most consistently sponsors Green Cards for software engineers, cloud architects, and cybersecurity specialists. Focusing your applications on these technical disciplines gives you the strongest alignment with their established sponsorship history.
Understand the PERM labor certification timeline
The Green Card process at Palo Alto Networks generally begins with PERM labor certification, which can take a year or more. Ask your recruiter early about where in the process the company initiates PERM to set realistic timeline expectations.
Search for verified sponsorship roles before applying
Not every open role at Palo Alto Networks will include Green Card sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus only on positions where international candidates are genuinely considered.
Highlight specialized cybersecurity expertise
Palo Alto Networks operates in a highly competitive space where specialized skills in threat intelligence, cloud security, and network defense command attention. Demonstrating deep domain expertise strengthens your Green Card candidacy by making you harder to replace locally.
Ask about sponsorship policy during the interview process
Palo Alto Networks has dedicated immigration support for sponsored employees, but policies can vary by role level and team. Raising sponsorship directly with your recruiter after receiving interest signals avoids surprises later in the hiring process.
Palo Alto Networks Green Card Visa Sponsorship: Frequently Asked Questions
Does Palo Alto Networks sponsor Green Card visas?
Yes, Palo Alto Networks sponsors Green Card visas and is among the more active Green Card sponsors in the Technology & Software sector. Sponsorship is most common for technical roles in software engineering, cloud infrastructure, and cybersecurity. The company works with immigration counsel to manage PERM filings and subsequent petitions on behalf of eligible employees.
Which roles and departments at Palo Alto Networks are most likely to receive Green Card sponsorship?
Green Card sponsorship at Palo Alto Networks is concentrated in technical and engineering functions. Software engineers, security researchers, data scientists, and cloud architects represent the roles most frequently sponsored. Corporate and non-technical roles see far less consistent sponsorship activity, so candidates in those tracks should confirm eligibility directly with the recruiter.
How does the Green Card application process work at Palo Alto Networks?
The process typically begins with PERM labor certification filed by Palo Alto Networks with the Department of Labor, which requires demonstrating that no qualified U.S. worker is available for the role. After PERM certification, the company files an I-140 immigrant petition. Once that is approved, you either adjust status in the U.S. or pursue consular processing abroad, depending on your situation.
How long does Green Card sponsorship take at Palo Alto Networks?
The full Green Card timeline at Palo Alto Networks depends heavily on your country of birth and the employment-based category used. PERM alone can take over a year. For applicants born in India or China, priority date backlogs in the EB-2 and EB-3 categories can extend the overall wait significantly beyond the initial PERM and I-140 stages.
How do I find Green Card jobs at Palo Alto Networks that are open to sponsored candidates?
The most reliable approach is to search platforms that verify sponsorship history rather than relying on job descriptions alone. Migrate Mate tracks real Green Card sponsorship data so you can identify Palo Alto Networks roles where international candidates have genuinely been hired and sponsored, helping you focus your time on applications with a realistic path forward.
What is the prevailing wage for Green Card sponsorship at Palo Alto Networks?
Employers sponsoring a Green Card through the PERM labor certification process must pay at least the prevailing wage for the role. The Department of Labor determines this rate based on the specific job title, location, and experience level. The prevailing wage is locked in during the PERM filing and applies through the entire Green Card process. You can look up current rates using the DOL's OFLC Wage Search tool.