IT Infrastructure Engineer – AI

UserTesting
United Kingdom
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsSkills: ["Communication","Stakeholder management","Troubleshooting","Project leadership"]

Build and maintain AI enablement infrastructure by deploying and operating MCP servers, AI agent environments, and hosting for internally built AI applications. Engineer reliable AWS/GCP infrastructure and DevOps toolsets, including CI/CD and infrastructure-as-code for secure deployments. Monitor uptime, performance, and cost with observability tools, troubleshoot complex integrations, and partner with security and engineering to improve governance and adoption.

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FursaFursa
UserTesting
UserTesting
1 month ago

IT Infrastructure Engineer – AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and maintain AI enablement infrastructure by deploying and operating MCP servers, AI agent environments, and hosting for internally built AI applications. Engineer reliable AWS/GCP infrastructure and DevOps toolsets, including CI/CD and infrastructure-as-code for secure deployments. Monitor uptime, performance, and cost with observability tools, troubleshoot complex integrations, and partner with security and engineering to improve governance and adoption.
Location: United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Set up, configure, and maintain MCP servers that connect AI systems to internal tools and data sources, including access scoping, credential management, and troubleshooting integrations.
  • •Design, provision, and support hosting environments for internally built AI applications on AWS/GCP, including VPCs, compute, containers, and load balancing.
  • •Provision and support AI agent/application infrastructure, including service accounts, API key management, permissions scoping, rate limit monitoring, and access auditing.
  • •Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, secure deployments of AI-hosted applications and supporting services.
  • •Support cloud infrastructure administration and DevOps toolsets; monitor uptime, performance, and cost with observability tools and act as an escalation point for complex hosting/infrastructure issues.

Key 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 AWS/GCP cloud infrastructure.
  • •Hands-on experience with AI concepts like MCP and AI agents.
  • •Strong scripting and automation skills in Python and/or Bash, plus comfort with JSON/YAML and Git for version control.
  • •Experience with containerization and orchestration (Docker/Podman; Kubernetes, ECS, or Cloud Run) and infrastructure-as-code/CI/CD (Terraform, CloudFormation, Pulumi; GitHub Actions).
Experience:5+ yearsCloud infrastructureDevOpsAI enablement
Skills:CommunicationStakeholder managementTroubleshootingProject leadership
Tech Stack:AWSGCPVPCsIAMTerraformCloudFormationPulumiGitHub ActionsDatadogCloudWatchMCP (Model Context Protocol)AI agentsPythonBashGitJSONYAMLDockerPodmanKubernetes

Company Brief

UserTesting
Provides a user experience research platform that enables companies to capture on-demand video feedback, usability testing, and customer insights to improve products, websites, and digital experiences across design, product, and marketing teams.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2007
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn