Job SummaryThe Unit 42 Engineering team specializes in providing tools enabling threat researchers and incident response consultants to work more efficiently across the vast amounts of data Palo Alto Networks has at its disposal. Our experts bridge the gap between application development using modern best practices/technology and the world-class research teams within Unit 42. This role will challenge you to become a true force-multiplier, assisting the security research team through designing and building threat centric application workflows, process automations, and the creation of intelligent data architectures for threat intelligence and telemetry collection at scale.
Key Responsibilities- Assist in the development and implementation of features and integrations to support threat data collection, analysis, and countermeasure creation.
- Collaborate with the team to implement REST APIs and workflows, learning about integration with various data sources such as SQL, NoSQL, BigQuery, and document stores.
- Contribute to the development and maintenance of frameworks that support threat researchers, gaining experience with tooling and automation to improve efficiency.
- Work with senior team members to understand technical dependencies, document technical specifications, and support integration with existing systems.
- Participate in the deployment process, gaining hands-on experience with modern tools such as Git, CI/CD (Gitlab CI, Docker, Airflow, Kubernetes), and containerization.
Qualifications Required Qualifications- In depth knowledge of Modern AI tools and techniques
- Experience building AI based Agents using frontier models such as Gemini, Claude, etc.
- Foundational knowledge of Python and SQL, with an eagerness to learn and work with various database technologies, including non-relational databases like Elasticsearch, Cassandra, BigQuery, or similar.
- Familiarity with containerization concepts, ideally with some exposure to Docker and container orchestration tools like Kubernetes.
- Solid programming skills, with the ability to contribute to the development and implementation of features under guidance.
- Understanding of REST APIs and how to integrate with them.
- Basic understanding of queuing technologies such as RabbitMQ or Pub/Sub, and an interest in learning to build solutions using these technologies.
- Good written and verbal communication skills, with a willingness to collaborate effectively in a team environment.
Preferred Qualifications- Familiarity with front-end frameworks such as React is a plus.
- Exposure to cloud environments like AWS or GCP is desirable.
- Interest in threat intelligence and applied security is beneficial, but not required.
- Some exposure to API design is a plus.
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.
$126,000.00 - $204,500.00/yr
