Principal Site Reliability Engineer (Cortex Data Lake)

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. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career Palo Alto Networks runs a large infrastructure and is one of the largest GCP customers. As a Principal Staff DevOps Engineer for the CDL/SLS team, you will be part of a team supporting the services running on this infrastructure. This includes automation, architecture, performance, observability, troubleshooting, security, and reliability. Our Infrastructure Platform stack includes Terraform, Kubernetes, GitLab CI/CD, GitOps, Prometheus, Grafana, Loki, Docker, GCP, Vault, Kafka, MySQL, Python, Bash, and Go. Your Impact Contribute to the success of SRE and DevOps Develop expertise in new technologies Work with developers, researchers, data scientists, and security experts Design, build and operate reliable, secure Cloud infrastructure Ensure that applications are production-ready, scalable, and reliable Develop tools and automation frameworks Automate robust deployment of robust services Orchestrate end-to-end monitoring and alerting Participate with SRE and Dev teams in the on-call rotation Lead root cause analysis of critical business and production issues Qualifications Your Experience 6 years as an engineer in Infrastructure, Operations, DevOps, or System Engineering 4 years building high availability, scalable cloud-native applications on AWS and GCP BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience required Expertise in configuration management with a framework such as Ansible, Terraform, Helm Passion for infrastructure and monitoring as code Solid experience in container workloads and Kubernetes Familiarity with PKI concepts, Networking concepts In-depth knowledge of different security controls ( app-id, user-id, security profile, url category, content, ssl decryption, firewall MFA etc) Linux administration, internals, and network troubleshooting Proficiency with programming languages like Golang or Python along with shell scripting to automate tasks. Proficiency with CI/CD pipelines, ArgoCD and GitLab CI/CD. Ability to diagnose and troubleshoot complex distributed systems handling high volume transactions Experience with managing Kafka is a plus Excellent written and verbal communication, able to collaborate and rally support Self-disciplined, self-managed, self-motivated, strong sense of ownership, urgency, and drive. Ready to understand and dissect new technology stacks quickly Excellent written and verbal communication, able to collaborate and rally support #LI-TD1 Compensation Disclosure The 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 ... (truncated, view full listing at source)