Security Researcher (DNS Security)
Description
Our Mission
At Palo Alto Networks® everything starts and ends with our mission :
Being the cybersecurity partner of choice, protecting our digital way of life.
We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish but we’re not here for easy.
We’re here for better. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
We’re changing the nature of work. Palo Alto Networks is evolving to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work.
From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks.
And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.
Your Career
The DNS Security Research team is responsible for delivering high quality content to our products to prevent successful cyberattacks, with a special focus on DNS security, network security, privacy protection, etc.
We design, build, and maintain various detection systems and data infrastructures to protect customers against constantly evolving threats and attacks.
Your Impact
- Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.
- Design and build scalable and extensible prevention / detection systems
- Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques
- Convert research results and discoveries into products, research papers, etc.
Your Experience
- BS / MS in Computer Science or related fields with security research experience or equivalent military experience - PhD in Cyber Security or Machine Learning is a plus
- Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research
- Expertise in DNS and DNS security
- Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting
- Excellent programming skills in Python, Shell script, Go, or SQL
- Understanding of core network protocols (TCP / IP, HTTP / HTTPS, etc.)
- Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, RabbitMQ, BigQuery
- Be comfortable working independently, efficiently
- Excellent communication (written and verbal) and presentation skills
- Experience with malware traffic analysis is a plus
- Experience with graph database (e.g. Neo4j, Amazon Neptune), graph-based analysis is a plus
- Experience with Google Cloud Platform is a plus
- Proven success (past publication record, open source project contributions) is a big plus
The Team
Our Security Services Team is responsible for building next-generation threat prevention and antivirus solutions and shipping high-quality content to our products to prevent successful cyberattacks.
The areas include malware analysis, IoT security, Web security, network security, privacy protection.