Palo Alto Networks
Sr Staff Software Engineer Fullstack Agent Security
Palo Alto Networks, Santa Clara, California, us, 95053
Job Description
Palo Alto Networks® SaaS Security team is looking for a seasoned and accomplished Senior Software Engineer to help scale out our security platform with a sharp focus on platform and infrastructure capabilities. As a member of the team, you have the unique opportunity to:
Be part of a world-class software engineering team that works on various ground‑breaking cloud security service offerings
Lead initiatives in the platform team to deliver security as a service in the public cloud by providing highly scalable, highly available, and fault‑tolerant solutions
Deliver innovative solutions that enhances the security of AI agents and agentic workflows
This role is located at our dynamic Santa Clara California headquarters campus.
Your Impact
Build out world class Agentic AI security platform, influencing critical decisions on technology, architecture, integration, and reusability
Influence and architect cloud native, distributed computing system design, data ingestion pipelines and data storage solutions
Research and develop Machine Learning algorithms to enable security solutions for emerging agentic AI workflows
Work cross‑functionally with Product Management, SRE, Software, and Quality Engineering teams to deliver new security as a service offerings to the market in a timely fashion with excellent quality
Participate in all phases of the product development cycle, including requirement analysis, design, development, test, release and support
Foster software development best practices to deliver clean, testable, maintainable, readable and scalable code
Work closely with customer support teams to improve end‑customer outcomes
Identify innovative patentable solutions for complex problems to influence thought leadership within the organization
Qualifications Your Experience
Industry experience building scalable web applications
Proficiency in Front‑End technologies: React (hooks, Redux, component architecture)
Strong Back‑End development experience in one or more of the following: Java, Python
Solid understanding of modern software architecture, microservices, RESTful APIs, and cloud platforms (AWS, GCP, or Azure)
Familiar with AI‑based technologies (e.g., LLM integration, ML model APIs, vector databases) and AI‑based productivity tools (e.g., Copilot, ChatGPT, Tabnine)
Proven experience leading complex projects and mentoring engineers
Bachelor's + 4 years or Master's + 2 yrs experience building scalable web applications
Education: M.S./B.S. degree in Engineering, Data Science or equivalent experience in a related field or equivalent military experience required
Additional Information The Team 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 here.
Our Commitment We’re problem solvers that 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.
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Be part of a world-class software engineering team that works on various ground‑breaking cloud security service offerings
Lead initiatives in the platform team to deliver security as a service in the public cloud by providing highly scalable, highly available, and fault‑tolerant solutions
Deliver innovative solutions that enhances the security of AI agents and agentic workflows
This role is located at our dynamic Santa Clara California headquarters campus.
Your Impact
Build out world class Agentic AI security platform, influencing critical decisions on technology, architecture, integration, and reusability
Influence and architect cloud native, distributed computing system design, data ingestion pipelines and data storage solutions
Research and develop Machine Learning algorithms to enable security solutions for emerging agentic AI workflows
Work cross‑functionally with Product Management, SRE, Software, and Quality Engineering teams to deliver new security as a service offerings to the market in a timely fashion with excellent quality
Participate in all phases of the product development cycle, including requirement analysis, design, development, test, release and support
Foster software development best practices to deliver clean, testable, maintainable, readable and scalable code
Work closely with customer support teams to improve end‑customer outcomes
Identify innovative patentable solutions for complex problems to influence thought leadership within the organization
Qualifications Your Experience
Industry experience building scalable web applications
Proficiency in Front‑End technologies: React (hooks, Redux, component architecture)
Strong Back‑End development experience in one or more of the following: Java, Python
Solid understanding of modern software architecture, microservices, RESTful APIs, and cloud platforms (AWS, GCP, or Azure)
Familiar with AI‑based technologies (e.g., LLM integration, ML model APIs, vector databases) and AI‑based productivity tools (e.g., Copilot, ChatGPT, Tabnine)
Proven experience leading complex projects and mentoring engineers
Bachelor's + 4 years or Master's + 2 yrs experience building scalable web applications
Education: M.S./B.S. degree in Engineering, Data Science or equivalent experience in a related field or equivalent military experience required
Additional Information The Team 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 here.
Our Commitment We’re problem solvers that 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.
#J-18808-Ljbffr