Palo Alto Networks
Principal Engineer Software (Threat Data Platform)
$156K–$253K
Santa Clara, United States of America +2 · No · Principal · Full-time · Posted Oct 26, 2026
- Location
- Santa Clara, United States of America
San Francisco, United States of America
San Jose, United States of America - Experience
- 5+ years of hands-on experience building large-scale enterprise applications and high-availability data APIs.
- Education
- B.S. or M.S. in Computer Science, a related technical field, or equivalent practical software engineering experience.
- Visa sponsorship
- Immigration sponsorship: Yes
About the job
Build AI-driven threat intelligence tools and scalable data infrastructure that help security researchers develop threat models and deliver security insights across Palo Alto Networks products.
What you'll do
- Develop backend features and components from design through testing, deployment, and maintenance.
- Design and optimize threat-data ETL/ELT pipelines, data warehouses, and scalable APIs.
- Partner with stakeholders on technical solutions and contribute to code reviews, architecture, and engineering practices.
What they ask for
- B.S. or M.S. in Computer Science or a related technical field, or equivalent practical software engineering experience.
- 5+ years building large-scale enterprise applications and high-availability data APIs.
- Professional-level Java proficiency, RESTful API design, cloud-provider experience, and Python for data manipulation.
- Experience with Linux and shell scripting, SQL/NoSQL/time-series/graph databases, Kubernetes, and CI/CD workflows.
Nice to have
- Analytical solutions and data pipelines for machine learning or AI-driven insights.
- GCP services including Pub/Sub, Kafka, Dataflow, Spark, BigQuery, and BigTable; or GraphDB for threat relationship mapping.
Pay
$156,400.00 - $253,000.00/yr USD base salary
Tools
Java, RESTful API, GCP, AWS, Python, Linux, Kubernetes (K8s), CI/CD
AI focus
Build AI-driven tools for threat researchers and optimize data pipelines for machine learning or AI-driven insights.
Model-written summary · the original posting is authoritative