UserTesting
IT System Administrator – AI
Remote - US, USA
Sponsorship not specifiedDetected 7 days ago
PythonBashGitAWSGCPDockerRESTOAuthAgileAuditingResearchCommunicationCollaboration
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We are seeking a highly skilled and proactive IT System Administrator with deep expertise in IT systems and a strong working knowledge of AI tooling and infrastructure.
- This role sits at the intersection of traditional enterprise IT administration and the rapidly evolving AI enablement space.
- This role extends that mission into the AI space.
Responsibilities
- Set up, configure, and maintain MCP (Model Context Protocol) servers that connect AI systems to internal tools and data sources, including scoping access, managing credentials, and troubleshooting integrations.
- Enable and manage AI features within existing SaaS platforms (e.g., Atlassian Rovo, Slack AI, Okta AI, ChatGPT, Google Gemini), working with vendors and internal stakeholders to configure, roll out, and govern usage.
- Provision and support AI agent infrastructure: service accounts, API key management, permissions scoping, rate limit monitoring, and access auditing for agents operating across internal systems.
- Support the deployment and lifecycle management of AI solutions. Heavy importance on project/process management and communication skills for scoping calls, stakeholder meetings, and demo-style calls.
- Maintain documentation for all AI integrations, including architecture diagrams, access maps, runbooks, and troubleshooting guides.
- Support the administration of UserTesting's IT systems and SaaS toolset across the organization.
- Maintain assigned platforms through onboarding, offboarding, access management, feature rollouts, system cleanups, and lifecycle reviews.
- Partner with other IT System Administrators to improve reliability, automation, documentation, and supportability.
- Support & Collaboration
Requirements
- 5+ years of experience with enterprise IT systems in a system administrator capacity.
- Hands-on experience with MCP server setup and management, AI agent deployment, AI feature configuration within enterprise SaaS tools.
- Familiarity with scripting & automation technologies in Python and/or Bash, with working knowledge of Git for version control and JSON/YAML for config and API work.
- Familiarity with API-based integrations - managing keys, scoping permissions, reading docs, and troubleshooting connectivity issues.
- Ability to work in a Kanban-style environment, managing due dates, new tasks, and tech debt effectively.
- Familiarity with IDP tools like Okta, as well as the concepts of OAuth and SSO from an IT perspective.
- Ability to learn in a constantly shifting environment.
Nice to have
- Familiarity with containerization (Docker), including running and troubleshooting containerized services. experience with MCP servers or similar tooling a plus.
- Certifications in AI platforms are a plus (e.g., AWS, Google Cloud, Anthropic), but demonstrated hands-on experience is valued more highly, be prepared to explain this experience with real world examples.
Benefits
- Stay current on the AI tooling ecosystem and proactively identify tools or integrations that could benefit the IT team or the broader organization.
Company info
- Our mission is to help organizations craft exceptional customer experiences through fast, actionable feedback.
- Joining our team means being part of a passionate group focused on transforming how companies understand and connect with their customers.
- OVERVIEW We are seeking a highly skilled and proactive IT System Administrator with deep expertise in IT systems and a strong working knowledge of AI tooling and infrastructure.
- At UserTesting, we're committed to creating inclusive and accessible experiences for all candidates.
Equal opportunity
- Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program.
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This listing is sourced directly from UserTesting's careers page and normalized into a canonical job model.