Distinguished Software Engineer (Data Security - Distributed Systems, Big Data & AI )

Company Description

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

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 Description

The Team

You'll be working in a top tier cybersecurity company and collaborating with some of the brightest minds in technology. Our team doesn't shy away from tackling big problems. You will help build and support the tools and infrastructure enabling our developers to release the products that our customers depend on to defend against cyberattacks. Joining this dynamic and fast-paced team will give you the opportunity and thrill of resolving the technical and process gaps that hold back productivity.

Job Summary

At Palo Alto Networks, we are redefining cybersecurity. As a Distinguished Engineer on the Enterprise DLP team, you will be the foremost technical leader responsible for architecting and scaling the data platform that underpins our industry-leading cloud-delivered DLP service. Your mission is to establish the standards and systems necessary to process and analyze massive volumes of sensitive data, leveraging cutting-edge AI / ML, to ensure our customers' data remains protected across all network, cloud, and user vectors.

Key Responsibilities

As a Distinguished Engineer, you will own the long-term technical direction and execution for all data and analytics infrastructure within Saas Data Security and AI.

I. Architecture & Strategic Vision

• Define Architectural Roadmap : Set the 3-5 year technical strategy and architectural vision for the Enterprise DLP data platform, emphasizing scalability, performance, security, and cost-efficiency
• Big Data & AI Foundation : Drive the design, implementation, scaling, and evangelism of the core BigQuery, Vertex AI, Nvidia Triton, Kubeflow platform components that enable high-velocity data ingestion, transformation, and Machine Learning model serving for DLP detections
• Real-time Decisioning : Architect and implement ultra-low latency data ingestion and processing systems (utilizing Kafka, Pub / Sub, Dataflow) to enable real-time DLP policy enforcement and alert generation at massive enterprise scale
• Cross-Functional Influence : Act as the technical voice of the DLP data platform, collaborating with Engineering VPs, Product Management, and Data Science teams to align platform capabilities with product innovation

II. High-Scale Data Platform Engineering

III. Mentorship & Operational Excellence

Qualifications

Preferred Qualifications

Additional Information

Salary 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 $230,000 / YR - $300,000 / YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

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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.