Senior Google Workspace Architect & IT Automation Lead

Palo Alto Networks, Inc.

Santa Clara (CA)

Sur place

USD 137 000 - 222 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Restricted stock units
Bonus eligibility

Résumé du poste

Palo Alto Networks, Inc. is seeking a Sr Staff IT Systems Engineer for Google Workspace to own and optimize corporate platforms.

You will manage Google Workspace, drive automation, and strengthen security posture while partnering with Information Security on cross-functional initiatives. You will lead incident response, apply change management, and deliver solutions with minimal direction, leveraging AI-driven self-service ideas to improve infrastructure efficiency.

Qualifications

  • 8+ years of experience in IT systems engineering or a similar role.
  • Deep, hands-on admin experience with Google Workspace.
  • Strong scripting skills (JavaScript, Python or GAM).
  • Experience with IT infrastructure, automation, and incident response.
  • Experience with change management processes.

Responsabilités

  • Administer and optimize Google Workspace including users, groups, Gmail, Drive.
  • Secure email channels through gateways and transactional services.
  • Lead IT issue resolution via ServiceNow.
  • Collaborate with Information Security to implement security configurations.
  • Champion AI-driven self-service for infrastructure efficiency.
  • Apply formal change management and lead incident response.
  • Define requirements, build project plans, and manage resources.

Connaissances

Google Workspace administration
Scripting for automation
IT infrastructure
Incident response

Outils

ServiceNow
Proofpoint
SendGrid
GAM

Description du poste

Palo Alto Networks, Inc. is seeking a Sr Staff IT Systems Engineer for Google Workspace to own and optimize corporate platforms.

You will manage Google Workspace, drive automation, and strengthen security posture while partnering with Information Security on cross-functional initiatives. You will lead incident response, apply change management, and deliver solutions with minimal direction, leveraging AI-driven self-service ideas to improve infrastructure efficiency.

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