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Sr Staff Engineer Software – Network Security – Sase

Sr Staff Engineer Software – Network Security – Sase

CompanyPalo Alto Networks
LocationSanta Clara, CA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelExpert or higher

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent military experience
  • Experience with at least one of the cloud platforms (GCP, AWS and Azure)
  • Experience writing Go, Python, or other language at production scale
  • Knowledge of infrastructure as code (IaC) and config mgmt tools like Terraform and ansible
  • Understanding of Unix/Linux, SSH, and networking fundamentals
  • 10+ years of experience in software engineering, DevOps, or related fields
  • Excellent problem-solving skills and the ability to troubleshoot complex issues
  • Strong communication skills and the ability to work collaboratively across teams
  • Knowledge of containerization technologies (Docker, Kubernetes)
  • Familiarity with monitoring and logging tools (Prometheus, Grafana)
  • Hands-on experience with GitLab, Vault, and Artifactory in complex environments

Responsibilities

  • Plan, deploy, and manage GitLab, Vault, and Artifactory across different environments
  • Ensure seamless integration and optimal performance of these tools in FedRamp and China operational contexts
  • Design, develop, and maintain comprehensive CI/CD templates for use across various engineering teams
  • Provide support and best practices for the adoption and customization of CI/CD templates
  • Collaborate with cross-functional teams, including security, compliance, and development, to ensure alignment and integration of engineering productivity tools
  • Work closely with stakeholders to gather requirements, provide technical expertise, and deliver scalable solutions

Preferred Qualifications

  • Previous experience in a cybersecurity or high-tech environment
  • Experience with AI tools and infrastructure for developer productivity