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Revolutionizing protection. Define what’s next in cybersecurity. Our Mission: At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Job Summary: If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you. This is an opportunity to join an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Job Responsibility
Contribute to a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure
Drive the execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts
Simulate real-world attacks and perform deep behavioral analysis to inform and validate detection content
Collaborate across engineering, product management, and go-to-market teams to deliver impactful security solutions
Share insights with the security community through blogs, conference talks, and publications
Requirements
5+ years in security research with a proven track record of driving impactful projects
Deep expertise in cloud-native security, with strong focus on Kubernetes, containers or major cloud providers (AWS, Azure, GCP, OCI) or Linux internal
Experience developing or working with detection and response products, such as XDR, EDR, or cloud workload protection platforms
Excellent communication skills, with the ability to articulate complex research findings and drive alignment across diverse teams
Proficient in hands-on coding and scripting (e.g., Python)
Nice to have
Experience working with large-scale data pipelines and analytics (e.g., GCP BigQuery, Dataflow)
Familiarity with Kubernetes threat modeling frameworks (e.g., MITRE ATT&CK for Containers)