Revolutionizing protection.

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

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.

Your Career

Palo Alto Networks Prisma AIRS leads the industry in advanced AI Security Capabilities, including Runtime Security, Model Scanning and Red Teaming. As a Site Reliability Engineer, you will be embedded directly in an engineering team, enabling deep collaboration with Software Engineers, AI/ML Researchers, Architects, and Product Managers. You will have a direct and fulfilling impact on the future of AI Security.

A Principal Site Reliability Engineer in Prisma AIRS embodies integrity, creativity, and a tireless dedication to continuous improvement. You will have the opportunity to design, build and operate cutting edge cloud-native applications from the ground up at massive scale. We're looking for resourceful and discerning engineers with a diverse technology background and a bias for action who will accelerate the team with creativity, experience and clean code. 

Your Impact

• Operate Prisma AIRS Cloud Services through contemporary Reliability Engineering practices.

• Design, Build, Operate and Secure Cloud-Native Microservice Applications at Global Scale.

• Own End-to-End Service Delivery in Production - Availability, Performance, Scalability, Security.

• Partner with Software & ML Engineers to design and build new capabilities and features.

• Banish toil through automation - from shell scripting to cluster orchestration to dynamic CI pipelines.

• Gain a deep understanding of how we deliver AI Security; you'll be able troubleshoot end-to-end a production issue from an inbound HTTP request, through the network, webserver, model inferencing, database, down to the hardware layer.

Your Experience 

• You must be an expert in all things Kubernetes; you have a deep understanding of Kubernetes concepts, experience with building and operating production applications in multi-cluster environments, writing Helm charts from scratch and interacting with the Kubernetes API.

• You must be an expert in either GCP or AWS, with at least 5 years of experience building and operating production cloud infrastructure at scale.

• You must have significant Software Engineering / Development experience building applications in Go and/or Python.

• You should have demonstrated experience in network operations, such as cloud networking, network security, and/or distributed computing systems.

• You should have demonstrated experience in Linux administration, particularly in the context of cloud-native distributed systems, container runtimes, or Linux server fleets.

• You should have experience with Relational Databases and SQL; you know how to read, write and refactor SQL queries, identify opportunities for and design secondary indexes, manage database objects such as tables, views, stored procedures, and perform backup/restore operations.

• You should have experience designing, building and maintaining CI and/or GitOps pipelines for complex multi-application/multi-environment projects.

• You should have experience in building application observability through Prometheus / OpenTelemetry metrics, Structured Logging or Distributed Tracing systems.

• You may have practical experience in Information Security, such as Cloud / Application / Network Security and are familiar with compliance programs such as SOC2, ISO/IEC 27001, PCI-DSS, FedRAMP or control frameworks such as MITRE ATT&CK, NIST 800-53, OWASP or others.

• You may have experience with running LLM / Machine Learning Inferencing Servers at scale across heterogeneous multi-GPU cloud environments.

The Team

Our Prisma AIRS team is a group of highly motivated and innovative engineers and researchers dedicated to solving the most challenging problems in AI security. We thrive in a collaborative environment where we value creativity, ownership, and a commitment to excellence. You will have the opportunity to work with cutting-edge technology and make a significant impact on the future of cybersecurity.

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 $151,600 - $245,294/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.