Principal SRE (Cortex XDR XSIAM)

You will take end-to-end ownership of production reliability, ensuring that our services remain resilient, secure, and cost-optimized. This includes leading infrastructure automation, incident management, and on-call (L3) support, as well as driving post-incident analysis and MTTR reduction.

This is a hands-on leadership role where you will not only build scalable systems but also guide best practices across DevOps, SRE, and security.

More information about the Cortex product can be found

Your Impact

• Take full end-to-end ownership of SaaS production environments deployed on GCP, ensuring scalability, reliability, security, and cost efficiency.
• Work with large-scale Kubernetes (GKE) clusters, while developing Infrastructure-as-Code (Terraform, HashiCorp tools) to orchestrate production and development environments.
• Lead incident management (L3 on-call) plan and execute high-pressure production maintenance tasks, perform root cause analysis, and implement solutions to drive MTTR reduction.
• Build automation and self-healing tools for proactive remediation of known issues, CI/CD pipelines, and deployment processes.
• Secure production environments by integrating best-in-class security tools and practices, including both Palo Alto Networks and other industry-leading technologies.
• Collaborate with development and research teams to enhance architecture, improve service reliability, and optimize performance.
• Continuously research and deploy AI/ML technologies to production, driving innovation and operational excellence.

Your Experience

• 10+ years as a DevOps/SRE Engineer (or similar role) with a strong passion for technology, reliability, and service excellence.
• Hands-on expertise in cloud platforms (GCP preferred), with proven ability to manage large-scale, multi-project, multi-cluster environments.
• Strong background in infrastructure automation and orchestration using Terraform, HashiCorp tools, and Infrastructure-as-Code practices.
• Proficiency in containerized and virtualized environments (Kubernetes, Docker) with advanced scaling strategies using HPA, Karpenter, or Keda with custom metrics.
• Solid experience in CI/CD and release automation (GitLab, ArgoCD, Jenkins), including configuration management and deployment pipelines.
• Programming skills in Python or Go with high proficiency in Linux systems.
• Knowledge of databases such as Cassandra, ScyllaDB, MemSQL, or MySQL (advantage).
• Strong expertise in incident response, RCA, and post-mortem analysis, driving MTTR reduction and operational resilience.
• Demonstrated ability to collaborate with cross-functional research, security, and development teams, and work effectively with both internal and external stakeholders.
• Excellent communication, prioritization, and multitasking skills with a proven ability to grasp new technologies quickly and lead in high-scale production environments.