Sr Principal Engineer Software (AI Security)

Your Career

With Prisma AIRS Palo Alto Networks is building the worlds most comprehensive AI security platform. Organizations are increasingly building complex ecosystems of AI models applications and agents creating dynamic new attack surfaces with risks that traditional security approaches cannot response Prisma AIRS delivers model security posture management AI red teaming and runtime protection. Our customers can confidently deploy AI-driven innovation while ensuring a formidable security posture from development through runtime.

We are looking for a highly skilled and experienced Senior Principal Engineer to join the Prisma AIRS to play a crucial part in designing developing and optimizing robust scalable and high-performance backend systems that power our cutting-edge AI security platform.

This role is located at our dynamic Seattle WA office - in office 3 days a week. This is not a remote role. 

Your Impact

• Define and drive the technical vision and long-term strategy for multiple complex highly distributed backend systems.
• Lead the end-to-end architecture and design of innovative cross-functional product initiatives ensuring solutions are scalable reliable and secure for a global enterprise.
• Influence technical and product roadmaps by collaborating with senior leaders product managers and engineers across multiple organizations.
• Serve as a hands-on technical leader providing mentorship and raising the technical bar for other senior and staff-level engineers fostering a culture of engineering excellence.
• Pioneer and evangelize best practices for software development operational excellence and architectural patterns that impact entire product lines.

Qualifications :

Your Experience 

• Deep and proven experience (12 years) of architecting building and launching complex large-scale distributed systems with significant business impact.
• Expert-level proficiency in modern Python or at least one strongly typed programming language such as Go Java or C.
• Deep expertise in modern cloud platforms (AWS Azure or GCP) with a track record of building highly scalable and resilient cloud-native applications.
• Demonstrable experience operating mission-critical systems in production with stringent SLAs including on-call leadership and incident response.
• Extensive experience with Kubernetes and the cloud-native ecosystem including a deep understanding of its internals and operational best practices.
• Experience with machine learning (ML/MLOps) security or data engineering would be a significant advantage.
• Exceptional communication and presentation skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Comfortable with ambiguity and possess the ability to drive clarity and alignment on technical direction in a fast-paced highly collaborative environment.

Additional Information :

The Team
Our team is at the forefront of AI security building platforms that act as a secure gateway for machine learning pipelines. We specialize in developing advanced model scanners and policy enforcers that integrate seamlessly with modern ML workflows to identify and mitigate threats. Our work focuses on providing security AI ecosystems to protect against real-world threats like vulnerabilities embedded in ML models model tampering and data exfiltration. Through these efforts our team secures the entire AI lifecycle from end to end. If you are excited by the challenge of defending against model tampering AI forensics and malicious code at runtime and want to help define the standards for AI safety and security we encourage you to apply.

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 $212000 - $240000/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

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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  .

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.

Remote Work :

No

Employment Type :

Full-time