AI Infrastructure Engineer

Company: Escalent
Apply for the AI Infrastructure Engineer
Location: London
Job Description:

Role Overview

We are looking for a skilled Infrastructure Engineer with 5+ years of experience to design, build, and manage scalable, secure, and highly available cloud infrastructure. The candidate will work across Azure and AWS environments, leveraging Terraform, Docker, and cloud-native services to support production‑grade applications.

This role requires strong experience in provisioning, automating, and managing infrastructure for scalable applications and collaborating closely with development and DevOps teams.

Responsibilities

  • Design, deploy, and maintain scalable cloud infrastructure across AWS and Azure
  • Build and manage Infrastructure as Code (IaC) using Terraform for automated provisioning
  • Provision and optimize production environments through the development pipeline ensuring optimization for high availability, performance, cost and security
  • Implement and manage CI/CD pipelines for automated builds and deployments, primarily through GitHub Actions
  • Monitor system performance, troubleshoot issues, and ensure uptime across production systems
  • Collaborate with development teams to ensure infrastructure aligns with application requirements
  • Implement security best practices, access control, and compliance standards
  • Automate scaling, backup, and disaster recovery strategies
  • Continuously optimize infrastructure cost, performance, and reliability

Required Skills

  • 5+ years of experience in Infrastructure / Cloud / DevOps engineering
  • Strong hands‑on experience with AWS and Azure cloud platforms
  • Proficiency in Terraform (Infrastructure as Code)
  • Experience with Docker containerization and microservices deployment
  • Experience in provisioning and managing production‑grade scalable applications
  • Knowledge of Application Services (App Services, Load Balancers, APIs, etc.)
  • Strong understanding of networking, security, and cloud architecture principles
  • Experience with monitoring & logging tools (Prometheus, Grafana, ELK, etc.)
  • Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
  • Excellent problem‑solving and troubleshooting abilities
  • Experience with IAM, RBAC, and cloud security models (Azure AD, AWS IAM)
  • Familiarity with secrets management tools (Vault, AWS Secrets Manager, Azure Key Vault)
  • Understanding of DevSecOps practices and security scanning tools
  • Proficiency in scripting (Python, Bash, or PowerShell) for automation
  • Strongly preferred experience with Kubernetes / container orchestration
  • AWS Solutions Architect
  • Terraform Associate
  • Experience with multi‑cloud environments and cost optimization

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Posted: July 3rd, 2026