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# Principal Engineer Software (Device Security - Generative AI Back End)

- **Company:** Palo Alto Networks
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $156,400.0 - $253,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Computing, Databases, Data Warehousing, Linux, Apache Hive, Internet Security, Python (Programming Language), MongoDB, Node.Js, NoSQL, Systems Development Life Cycle, Redis, Software Tools, Shell Script, Single Sign-On, Software Engineering, SQL Databases, Web Services, EndPointSecurity, Apache Spark, Generative AI, Information Technology, Palo Alto Networks, Data Analytics, Enterprise Integration, Apache Kafka, Spark Streaming, Machine Learning Operations, Data Lakehouse, Stream Analytics, Data Pipelines, Cisco, Servicenow
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/principal-engineer-software-device-security-generative-ai-back-end-palo-alto-ca--3089fa1f-7d20-49b5-b1ef-b3c33a4e58e0

## About the Role

Engineering Software, Artificial Intelligence (AI), Leading Edge Technology, Internet Security, Artificial Intelligence (AI), Problem Solving Skills, Cross-Functional, Product Design, Product Development, Communication Skills, Your Experience

 * Must have BS/MS in Computer Science/Engineering with 8~12+ years software development experience
 * Must have 7+ years of working experience with Amazon AWS, Google GCP or MS Azure
 * Must have 7+ years of experience building large-scale distributed serving system
 * Must have 7~10== years of software development experience with NodeJS/JAVA/Python
 * Must have experience with Linux and Shell scripting
 * Must have good communication skills
 * Must have great problem-solving skills
 * Prefer knowledge of MongoDB, Kafka/firehose, Redis, Spark/Spark Streaming/Spark SQL, Redshift, or other data warehousing solutions.
 * Prefer knowledge of Network domain
 * Prefer experiences in building real-time analytics systems or machine learning systems
 * Good to have experience in Single Sign On (SSO) integration, Graph Data Lakehouse

## Description

We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for leaders who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal.

The Team

As part of the Device Security cloud infrastructure team, you'll be working on building our state of art realtime data analytics system and high performance serving system. You won't find someone at Palo Alto Networks that isn't committed to your success - with everyone pitching in to assist when it comes to solutions selling, learning, and development. As a member of our systems engineering team, you are motivated by a solutions-focused sales environment and find fulfillment in working with clients to resolve incredible complex cyberthreats.

Your Impact

 * Integrate generative AI capabilities to automate routine coding tasks and improve developer productivity for SDLC.
 * Design intelligent interfaces that leverage AI to provide proactive security insights and threat visualizations.
 * Design and implement the highly scalable and easily managed services for Device Security products to exchange IoT intelligences and extend system functionality through integrations with third party systems like ServiceNow, SIEMs and Cisco/ISE etc.
 * Design and implement the highly scalable and high performance services to support IoT devices' operational technology support
 * Design and implement Device Security Web Service APIs using NodeJS and SQL/Nosql database technology to provide key metrics and analytics for IoT devices
 * Design and implement algorithms for Device Security event connector and inspector management services to transfer customer network data into the cloud for storage and analytics at scale
 * Design and implement data pipeline to support Device Security features like device Identification, alert publishing, and device status tracking