Summary
Palo Alto Networks is a leader in cybersecurity, dedicated to protecting the digital way of life. The Sr Staff Engineer Software role involves developing tools and workflows to enhance the efficiency of threat researchers and incident response consultants, focusing on threat data collection and analysis.
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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
Benefits
- The offered compensation may also include restricted stock units and a bonus.
- A description of our employee benefits may be found here (https://benefits.paloaltonetworks.com/).