Palo Alto Networks-posted 4 months ago
$147,000 - $237,500/Yr
Full-time • Senior
Santa Clara, CA
5,001-10,000 employees

The Cortex team builds and delivers the industry’s most advanced SecOps platform, consisting of XSIAM, XSOAR, and XPANSE. As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining the infrastructure and automation that powers our large-scale cloud platform. You will work closely with engineering teams to enable fast and reliable software delivery, optimize system performance, and ensure seamless scalability. This role requires a strong DevOps engineer who is passionate about automation, cloud infrastructure, observability, and continuous integration/deployment. You will contribute to the evolution of our infrastructure by implementing best practices in configuration management, cloud provisioning, containerization, and CI/CD pipelines.

  • Architect, deploy, and manage cloud-native solutions in Google Cloud Platform (GCP) to ensure scalability, reliability, and performance
  • Develop Infrastructure-as-Code using Terraform, automate configuration management with tools like Ansible, and drive adoption of GitOps practices
  • Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, or similar tools to enable rapid, reliable software delivery
  • Deploy and manage containerized workloads using Kubernetes (GKE preferred) and Docker, ensuring resilience and security
  • Implement monitoring, logging, and alerting solutions to proactively identify and resolve performance issues
  • Ensure security best practices are followed across infrastructure, networking, and application deployment
  • Work closely with development teams to integrate DevOps practices, troubleshoot production issues, and improve operational efficiency
  • Participate in on-call support to maintain platform reliability and resolve production incidents
  • 5+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles
  • BS or MS in Computer Science or related technical field
  • Strong cloud expertise in Google Cloud Platform (preferred) or AWS
  • Deep knowledge of Terraform, Ansible, or equivalent tools
  • Proficiency in scripting/programming with Python, Go, or Bash
  • Experience managing large-scale Kubernetes environments and deploying workloads in GKE, EKS, or similar
  • Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD
  • Strong knowledge of Linux systems and shell scripting
  • Understanding of cloud networking, IAM, firewalls, and security best practices
  • Experience troubleshooting production issues in high-scale environments
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
  • FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees
  • Mental and financial health resources
  • Personalized learning opportunities
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service