IT Infrastructure Engineer – AI

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UserTesting

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

☁️ SaaS

🏢 Enterprise

🤝 B2B

💰 Grant on 2020-11

SaaS • Enterprise • B2B

UserTesting is a platform that provides businesses with human insights on their digital products and experiences. By facilitating video-based feedback from real people, it helps companies understand exactly how customers interact with their websites, apps, and prototypes. UserTesting allows organizations to target diverse audiences, gather in-depth consumer insights, and measure performance to create better user experiences. The platform serves teams of all sizes, from startups to enterprises, across various industries including eCommerce, financial services, gaming, healthcare, and more. With AI-powered tools, UserTesting accelerates research processes, enabling fast and efficient feedback collection and analysis.

📋 Description

• 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 • Design, provision, and support hosting environments for internally built AI applications ranging from lightweight PaaS deployments to full cloud infrastructure on AWS/GCP (VPCs, compute, containers, load balancing) depending on the app’s complexity and scale requirements • Familiarity with AI features within existing SaaS platforms (e.g., Atlassian Rovo, Slack AI, Okta AI, ChatGPT, Google Gemini) • Provision and support AI agent / application infrastructure: service accounts, API key management, permissions scoping, rate limit monitoring, and access auditing for agents operating across internal systems and cloud environments • Build and maintain CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation) to support repeatable, secure deployment of AI-hosted applications and supporting services • Maintain documentation for all AI integrations and hosted environments, including architecture diagrams, access maps, runbooks, cost/usage tracking, and troubleshooting guides • Stay current on the AI tooling and cloud ecosystem and proactively identify tools, platforms, or integrations that could benefit the IT team or the broader organization • Support the administration of UserTesting’s IT cloud infrastructure (AWS and/or GCP) and DevOps toolset across the organization as it relates to IT’s AI Infrastructure • Become a subject matter expert for AI-hosted platforms, cloud integrations, and supporting infrastructure • Monitor uptime, performance, and cost of hosted AI applications; implement alerting and observability (e.g., Datadog, CloudWatch, GCO) to catch issues before they affect users • Identify, prioritize, and address technical debt across cloud infrastructure, deployment pipelines, and integrations • Partner with other IT System Admins and Engineering/ Security teams to improve reliability, automation, documentation, and supportability of hosted environments • Act as an escalation point for complex infrastructure and hosting issues for the IT support team • Collaborate with cross-functional teams (Security, Engineering, People Ops, etc.) to improve cloud governance, security posture, and AI tool/app hosting adoption • Stakeholder management, this role will act (at times) as a project lead in some capacity. The ability to interact, demo and collaborate with non technical counterparts is critical. • Document procedures, system changes, and troubleshooting workflows.

🎯 Requirements

• 5+ years of experience with cloud infrastructure and/or DevOps engineering, ideally with direct AWS and/or GCP experience (compute, networking/VPCs, IAM, storage) • Practical experience deploying and hosting applications across cloud infrastructure (AWS/GCP) • Hands-on experience with AI Concepts like MCP, AI Agents, and other AI related technologies • Strong scripting & automation skills in Python and/or Bash, working knowledge of Git for version control, and comfort with JSON/YAML for config and API work • Experience with containerization (Docker / Podman) and container orchestration (e.g., Kubernetes, ECS, or Cloud Run), including running and troubleshooting containerized services experience with MCP servers or similar tooling a plus • Experience with infrastructure-as-code tooling (e.g., Terraform, CloudFormation, Pulumi) and CI/CD pipelines (e.g., GitHub Actions) • Familiarity with API-based integrations managing keys, scoping permissions, reading docs, and troubleshooting connectivity issues • Ability to train and mentor IT staff on infrastructure and DevOps practices as they apply to your role and function • Familiarity with IDP tools like Okta, as well as the concepts of OAuth and SSO from an infrastructure/security perspective • Certifications in cloud or AI platforms are a plus (e.g., AWS, Google Cloud, Anthropic), but demonstrated hands-on experience is valued more highly and be prepared to explain this experience with real world examples • Ability to learn in a constantly shifting environment.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events