Staff DevOps Engineer (Cortex Research Threat&Detection)

Your Career

In this role you will be the dedicated DevOps engineer responsible for engineering the deployment and integration of technologies from various specialized research teams into our central infrastructure. You will take full technical ownership of the production lifecycle - architecting backend wrappers mastering containerization strategies and orchestrating the deployment of these tools at scale. You will combine backend logic with robust infrastructure engineering to ensure that the diverse tools built by our research and collaborating teams function reliably and efficiently within our resources.

Your Impact

• Integration Strategy & Standards: Define the technical standards for exposing research tools by translating customer needs into clear specifications ensuring that tool interfaces meet both operational requirements and infrastructure best practices.

• Containerization: Build and maintain Docker images for a wide variety of tools ensuring they are deployable and efficient.

• Deployment & Orchestration: Manage the end-to-end orchestration of services into our production clusters utilizing modern deployment methodologies to ensure high availability and scalability.

• Technical Implementation: Work directly with research engineers identify dependencies and refactor applications for cloud-native deployment.

• Troubleshooting: Debug complex issues that arise when migrating code from local research environments to production infrastructure.

Qualifications :

Your Experience 

• 3-5 years of experience in a DevOps or Automation/Infrastructure Engineering role.

• Python Proficiency: Ability to write clean code. Experience with web frameworks (FastAPI Flask or Django) is an advantage.

• Containerization: Deep proven experience with Docker including multi-stage builds image optimization and understanding container runtimes.

• CI/CD & Automation: Proven experience with Jenkins pipelines and writing Groovy scripts for automation.

• Orchestration: Hands-on experience with Kubernetes (K8s) and managing cluster resources.

• OS Fundamentals: Deep understanding of Linux administration. Knowledge of Windows internals is a significant advantage.

• Cloud & CI/CD: Experience with cloud platforms (AWS/GCP/AZURE) is an advantage.

Additional Information :

The Team

We are an innovative team dedicated to developing a system that enables users to execute automated attack scenarios and provision diverse environments including VMs clusters and containers. Our mission is to tackle complex technical challenges deliver scalable and reliable solutions and continuously push the boundaries of automation. We foster a collaborative and growth-oriented environment where creativity and technical excellence thrive.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at  .

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time