Sr Systems Engineer

• Administer and optimize core enterprise systems and SaaS platforms.
• Support identity and access management, including SSO, MFA, provisioning, and user lifecycle management.
• Manage enterprise productivity, collaboration, and endpoint platforms.
• Build and maintain integrations using APIs, webhooks, scripting, and automation tools.
• Automate repetitive IT processes such as onboarding, offboarding, access requests, and service delivery.
• Support platforms such as Microsoft 365, Okta, Jira, Jira Service Management, and Confluence.
• Lead troubleshooting for complex system, identity, and application issues.
• Participate in system implementations, migrations, upgrades, and technology improvements.
• Maintain technical standards, documentation, and operational runbooks.
• Partner with Security to ensure appropriate access controls, logging, least privilege, and secure configurations.
• Provide technical guidance and mentorship to other IT team members.

A key expectation of this role is to help IT operate more efficiently through automation and AI.

This includes:

• Automating manual workflows and system administration tasks.
• Building scalable integrations between enterprise applications.
• Using AI-assisted tools for troubleshooting, scripting, documentation, and service delivery.
• Improving employee self-service and knowledge management.
• Identifying practical AI use cases while maintaining appropriate security and governance controls.

• 6+ years of experience in Systems Engineering, IT Engineering, or Enterprise Applications.
• Strong experience supporting enterprise SaaS platforms.
• Experience with identity platforms such as Okta or Microsoft Entra ID.
• Strong knowledge of SSO, SAML, OAuth, SCIM, MFA, and access lifecycle management.
• Experience with Microsoft 365 and endpoint management tools such as Intune or Jamf.
• Working knowledge of Jira, Jira Service Management, Confluence, or similar platforms.
• Experience with APIs, automation platforms, and scripting such as PowerShell or Python.
• Strong troubleshooting, root-cause analysis, and problem-solving skills.
• Ability to independently own technical initiatives and work across multiple teams.

• Experience supporting a cloud-first or global workforce.
• Experience with Workato, Power Automate, or similar automation platforms.
• Experience with IT asset management and SaaS administration.
• Familiarity with AWS or Azure.
• Experience implementing AI-enabled IT workflows.
• Relevant Microsoft, Okta, Atlassian, or ITIL certifications are a plus.

We are looking for someone who is technically strong, curious, pragmatic, and comfortable owning systems end to end.

This is a broad engineering role for someone who can move across identity, SaaS, endpoints, integrations, automation, and AI while keeping reliability, security, and employee experience in mind.

Own the system.

Simplify the process.

Automate where it makes sense.

Build for scale.

How We Think About AI At Quickbase, we view AI as a tool to accelerate how work gets done — not replace it.

We encourage thoughtful use of AI to improve speed, quality, and decision-making, while maintaining strong judgment, accountability, and data integrity.

Quickbase is committed to building a diverse and inclusive workplace.

We encourage candidates from all backgrounds to apply – even if you don’t meet every qualification listed.

We are proud to be an equal opportunity employer.

• Modern Health

• Mobile and Internet Allowance
• Meal Benefit
• Office Transportation