Principal Full-Stack Software Engineer (Shared Services) Full Time NEW

Santa Clara, California, United States Product Engineering Ref ID: JR-017055

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Current Employees, apply here

Our Mission

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 Mission

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

• Design and build agent-driven systems leveraging ADK to enable generative input/output orchestration across internal and customer-facing platforms.
• Define and implement the A2UI (Agent-to-User Interface) layer to translate agent reasoning and outputs into intuitive visual experiences and actionable workflows.
• Develop Model Context Protocol (MCP) integrations to enable secure and scalable context sharing between models, tools, and enterprise systems.
• Develop Agent-to-Agent (A2A) collaboration frameworks to enable multi-agent orchestration and task delegation aligned with the organization’s AI North Star.
• Build and maintain reusable agent capabilities, tools, and connectors to accelerate development of AI-powered workflows.
• Create visualization and interaction layers for generative outputs, enabling traceability, explainability, and human-in-the-loop feedback loops.
• Establish best practices for prompt design, agent memory management, tool usage, and context optimization within the agent ecosystem.
• Develop evaluation frameworks and telemetry to measure agent performance, response quality, and user engagement across AI-powered experiences.
• Implement governance mechanisms for agent safety, observability, and policy compliance in generative AI systems.
• Collaborate with product and design teams to define next-generation AI-native user experiences powered by autonomous agents and generative interfaces.
• Continuously evaluate emerging agent frameworks, LLM tooling, and generative AI technologies to inform platform architecture and roadmap decisions.

Required Qualifications

• 2+ years of experience using an Object–Oriented programming language (Java/Python)
• Experience with cloud-native service development stack on GCP
• Knowledge of Object Oriented Programming design concepts
• Solid grasp of RESTful API design and micro services architecture.
• Basic understanding of machine learning concepts and familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Skilled in diagnosing and solving complex problems while providing detailed technical analysis
• Attention to details and high behavioral standards
• Team player with can-do attitude to tackle difficult problems and you inspire your team to do the same
• High energy and the ability to work in a fast-paced environment
• Excellent collaboration and communication with multiple teams
• Fast learner and eager to absorb new emerging technologies
• M.S./B.S. degree in Computer Science or Electrical Engineering or equivalent military experience

Qualifications

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/com-missioned 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 foundhere (opens in new window) (opens in new window).

$126,000.00 – $204,500.00/yr

Qualifications

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/com-missioned 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 (opens in new window) (opens in new window).

• /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 (opens in new window) (opens in new window).

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

Apply

Current Employees, apply here

Our Mission

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.

Job Summary

• Design and build agent-driven systems leveraging ADK to enable generative input/output orchestration across internal and customer-facing platforms.
• Define and implement the A2UI (Agent-to-User Interface) layer to translate agent reasoning and outputs into intuitive visual experiences and actionable workflows.
• Develop Model Context Protocol (MCP) integrations to enable secure and scalable context sharing between models, tools, and enterprise systems.
• Develop Agent-to-Agent (A2A) collaboration frameworks to enable multi-agent orchestration and task delegation aligned with the organization’s AI North Star.
• Build and maintain reusable agent capabilities, tools, and connectors to accelerate development of AI-powered workflows.
• Create visualization and interaction layers for generative outputs, enabling traceability, explainability, and human-in-the-loop feedback loops.
• Establish best practices for prompt design, agent memory management, tool usage, and context optimization within the agent ecosystem.
• Develop evaluation frameworks and telemetry to measure agent performance, response quality, and user engagement across AI-powered experiences.
• Implement governance mechanisms for agent safety, observability, and policy compliance in generative AI systems.
• Collaborate with product and design teams to define next-generation AI-native user experiences powered by autonomous agents and generative interfaces.
• Continuously evaluate emerging agent frameworks, LLM tooling, and generative AI technologies to inform platform architecture and roadmap decisions.

Required Qualifications

• 2+ years of experience using an Object–Oriented programming language (Java/Python)
• Experience with cloud-native service development stack on GCP
• Knowledge of Object Oriented Programming design concepts
• Solid grasp of RESTful API design and micro services architecture.
• Basic understanding of machine learning concepts and familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Skilled in diagnosing and solving complex problems while providing detailed technical analysis
• Attention to details and high behavioral standards
• Team player with can-do attitude to tackle difficult problems and you inspire your team to do the same
• High energy and the ability to work in a fast-paced environment
• Excellent collaboration and communication with multiple teams
• Fast learner and eager to absorb new emerging technologies
• M.S./B.S. degree in Computer Science or Electrical Engineering or equivalent military experience

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/com-missioned 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 (opens in new window) (opens in new window).

• /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 (opens in new window) (opens in new window).

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