PALO ALTO NETWORKS is the fastest-growing company in Silicon Valley, and a four-time Gartner Group Magic Quadrant winner for innovation and the ability to execute. Palo Alto Networks has been named a “best place to work” by the Silicon Valley Business Journal. Our game-changing security platform brings together all key network security functions, including advanced threat protection, firewall, IDS/IPS, and URL filtering. A fun and dynamic culture, we offer unprecedented career and financial growth potential, along with the chance to be part of the very important mission: to prevent cyber breaches and protect our digital way of life.
JOB DUTIES
As a member of the Security Research Team, you will work with researchers on implementing different projects that detect and defend against various emerging threats in areas including Web security and Network security. You will be a key person in transforming ideas into products that are part of the next-generation security platform. The Security Research Team is responsible for innovating new security techniques. RESPONSIBILITIES:
- Build threat research systems for both internal tools and customer-facing products.
- Write design documents, SW development guidelines, and best practices.
- Work closely with team members and PMs to gather requirements, design, implement, and release.
- Work with QA and DevOps on release/deployment.
- Proven problem-solving and interpersonal communication skills.
QUALIFICATIONS:
- Creative thinker and team player, with good communication skills and desire to make a difference.
- 3+ years of experience as a Java Developer in distributed systems.
- Ability to design and deploy component, regression, and integration tests.
- Familiar with Microservice architecture, proficient in MongoDB, MySQL, Hadoop, HBase, Cassandra.
- Experience in designing and tuning high-performance systems.
- Experience with Big data and streaming tools, Kafka, RabbitMQ.
- Experience with container-based development (Docker, Kubernetes).
- Knowledge of web crawlers, machine learning, and web content classification.
- Hands-on and can-do attitude.
EDUCATION/QUALIFICATION:
- BS/MS in Computer Science or Computer Engineering.