This role pays less than
80%
of similar roles. Most pay
$146,500–$193,000
— the shaded band above.
At the midpoint, this role pays about
$139k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About Okta Inc
Okta, Inc. is an American identity and access management company based in San Francisco. It provides cloud software that helps companies manage and secure user authentication into applications, and for developers to build identity controls into applications, websites, web services, and devices.[
Okta Inc currently has
116 open roles
on FindRole.
Listed pay typically runs
$170,000–$238,500
across 116 roles with salary data.
Senior Systems Engineer, Productivity Engineering joins the Technology, Data, and Insights team to manage and optimize the global workforce's core productivity suite. This role involves administering tools like Google Workspace, Gemini, Slack, Asana, Smartsheet, and Jira while ensuring secure integration of enterprise AI technologies into daily workflows. The engineer will be responsible for lifecycle management, infrastructure automation via APIs or scripting in Python, Bash, or Apps Script, and establishing global governance standards for security permissions. Key technical requirements include expertise in DNS, mail routing, Vault, DLP, and RBAC principles. The role addresses the challenge of providing a seamless, secure user experience by resolving complex Tier 3 escalations and automating manual bottlenecks. Candidates must possess deep knowledge of SaaS architecture to support a distributed global environment while ensuring compliance with security standards like NIST and CIS.
What does a Systems Engineer earn in California?
Median $191000 from 73 postings across 17 companies.
Administer and optimize core productivity suites including Google Workspace, Gemini, Slack, Asana, and Smartsheet.
Lead the deployment, management, and troubleshooting of enterprise AI tools integrated into daily workflows.
Create technical documentation and provide training to drive adoption of productivity tools across the organization.
Act as a Tier 3 escalation point for complex technical issues in a global, 24/7 environment.
Manage the full lifecycle of multiple enterprise SaaS applications while enforcing security permissions and data governance.
Automate repetitive administrative tasks using APIs or scripting languages like Python, Bash, or Apps Script.
Analyze system data to identify root-cause trends and deliver on quarterly performance goals.
What we're looking for
Candidates must have 5+ years of related experience in a professional role.
Candidates must be able to provide documentation establishing U.S. Person status (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee).
Experience managing enterprise-level Google Workspace and tools like Slack, Asana, Jira, ServiceNow, and Smartsheet is required.
Practical experience managing and deploying Gemini and other AI-driven productivity interfaces in a corporate framework is required.
Proficiency in automation and scripting using Apps Script, Python, Bash, Go, or Swift is required.
Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible and CI/CD frameworks like GitHub Actions is required.
Deep expertise in Jamf Pro for Apple fleet management is required.
Familiarity with Microsoft Intune or other cross-platform MDM solutions is preferred.
Systems Engineering
Integration & Test
Configuration Management
Rust
Python
C
MATLAB
R
SQL
Linux
Command Line Interface
JAMA
Design-Build-Test (DBT)
Requirements Management
Robotics
Autonomous Systems