Job SummaryThe TeamEngineering - Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating - challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
Job SummaryJoin the Threat Data Platform (TDP) engineering team at Palo Alto Networks, where we are redefining how threat intelligence is automated and analyzed. As a Principal Software Engineer, you will build AI-driven tools that empower researchers to develop sophisticated, high-fidelity threat models. Your mission is to innovate and scale our core data pipelines, ensuring seamless integration across the PANW product ecosystem to deliver critical security value to thousands of global customers.
Key Responsibilities- Drive the end-to-end development of backend features and core components, from initial architectural design and testing to deployment and long-term maintenance.
- Design and optimize high-throughput ETL/ELT pipelines that ingest and transform complex threat data into actionable intelligence within our data warehouse.
- Build and maintain high-performance data warehouses and scalable APIs that serve as the backbone for PANW's internal security researchers.
- Partner with cross-functional stakeholders to translate complex business requirements into elegant, scalable technical solutions.
- Champion engineering excellence through rigorous code and design reviews, contributing to the team's architectural roadmap and best practices.
Qualifications Required Qualifications- B.S. or M.S. in Computer Science, a related technical field, or equivalent practical software engineering experience.
- 5+ years of hands-on experience building large-scale enterprise applications and high-availability data APIs.
- Professional-level proficiency in Java (core backend) and a strong command of RESTful API design.
- Proven experience with major cloud providers (GCP preferred or AWS) and their managed services.
- Experience with Python for data manipulation, alongside expertise in Linux environments and shell scripting.
- Strong grasp of varied database architectures, including SQL, NoSQL, Time-series, and GraphDB.
- Experience operating within Kubernetes (K8s) environments and a solid understanding of modern CI/CD workflows.
Preferred Qualifications- Familiarity with building complex analytical solutions and optimizing data pipelines for machine learning or AI-driven insights.
- Specific experience with GCP services such as Pub/Sub, Kafka, Dataflow, Spark, BigQuery, and BigTable.
- Experience with GraphDB specifically for threat relationship mapping.
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Compensation DisclosureThe 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/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$156,400.00 - $253,000.00/yr
Is role eligible for Immigration Sponsorship?: Yes
