Sr Staff Security Researcher – Web Security
| Company | Palo Alto Networks |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior |
Requirements
- Creative thinker and team player with a passion for data-driven security research, and building high quality, complex systems as a part of an incredible research team
- Strong Web security background and expertise in detecting security threats over the Internet, such as, phishing, fraud, botnet, spam
- Strong engineering skills and ability to fastly learn and adapt to new programming languages and technologies
- Advanced programming skills in Python, JavaScript/Node.js, Shell scripting
- Must have MS/PhD in Computer Science / Software Engineering (PhD in Computer Security or Privacy is preferred), or 2+ years of relevant industry experience or equivalent military experience required
- Strong research, communication and presentational skills
Responsibilities
- Track and research emerging online threats and innovate new automated ways to identify malicious indicators used by malicious websites and URLs
- Design, develop, test and release threat prevention and detection systems to protect enterprise customers around the globe
- Leverage frontier technologies in ML and AI, as well as other data-driven techniques
- Convert research results and discoveries into real-impact innovative products
- Implement and maintain complex software pipelines and data infrastructures with challenging requirements on high quality and performance
- Work across teams to deliver production-impact projects
Preferred Qualifications
- Experience with malware traffic analysis, signature mining, sandboxing is a plus
- Experience with crawling infrastructures and security scanners is a plus
- Experience with email security is a plus
- Advanced programming skills in Golang is a plus
- Knowledge and experience with modern databases and Big Data tools, such as ELK stack, MySQL, MongoDB, Redis, Kafka, RabbitMQ, BigQuery, Bigtable is a plus
- Knowledge and experience with Docker and Kubernetes is a plus
- Experience with cloud computing platforms, such as GCP, AWS, Azure is a plus
- Knowledge and experience in machine learning techniques, workflows and algorithms, such as k-NN, SVM, Decision Trees, Random Forest, CNN and RNN
- Experience with implementing complex data-driven systems and ML pipelines is a plus
- Past work experience in early-stage, fast-growth startups is a plus
- Past experience on open source projects is a plus