Primary record

IT Systems Engineer

Scale AI Indexed employerWashington, DC · San Francisco, California, United States
Source-hosted applyChecked 3h agoInternship
Apply at Scale AI

Scale AI receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

On-site

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

The Role:

Scale AI is hiring a highly skilled foundational IT Systems Engineer for our Public Sector IT team to design, build, and operate secure, scalable infrastructure that empowers employees to do their best work. You’ll join a creative, fast-moving, solutions-oriented group that architects and implements automation across identity and access management, endpoint management, and our broader SaaS stack. Leveraging Okta Workflows, GCC High/Azure Gov, and your familiarity with federal frameworks (FedRAMP High, IL6, CMMC), you’ll deliver robust, audit-ready systems that meet stringent compliance requirements. The ideal candidate pairs deep IAM best practices and hands-on SaaS administration with a zero-trust mindset, clear documentation, and a genuine drive to make people happy—while protecting system integrity in a fast-paced, high-security environment.

You will:

• Assist with the administration of our tech stack with platforms such as Okta, GCC High, Opal, Slack, Jamf, Jira, and many more

• Provide escalated assistance to the IT Services and Support team

• Partner with Security/Compliance on audit artifacts (SSP updates, POA&Ms, control mappings to NIST 800-53/171, CMMC 2.0).

• Create and update technology documentation for internal IT teams and Scale employees

• Design and maintain Zero-Trust controls (device posture, network segmentation, Conditional Access) across GCC High/Azure Gov and Okta.

• Build Okta Workflows and lightweight services (webhooks/queues) to automate joiner–mover–leaver events, access reviews, and deprovisioning.

• Own change management for IT systems in regulated environments (CAB records, rollback plans, validation evidence).

Ideally you'd have:

• 5+ years of IT systems, infrastructure, and/or engineering experience

• Experience with integrating with SaaS APIs and SDKs

Requirements

Department: Data, Technology & Systems