AI Platform Engineer — Cloud Infra, Kubernetes & Terraform

Enigma

Cambridge

On-site

GBP 90,000 - 120,000

Full time

7 hours ago
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Benefits offered by this job

Competitive compensation
Benefits package

Job summary

Enigma is seeking a Platform Engineer in Cambridge to design, deploy, and maintain cloud infrastructure for AI workloads. You will ensure performance, security, and cost-efficiency across AWS, GCP, and Azure, while supporting on-call reliability and SLOs.

You will work with engineers to scale AI agents, implement observability, and drive infrastructure improvements in a fast-moving AI environment.

Qualifications

  • 5+ years of experience with cloud infrastructure on major cloud platforms (AWS/GCP/Azure).
  • Hands-on IaC in production using Terraform and Helm.
  • Strong understanding of cloud security principles and best practices.
  • Practical experience deploying and managing Kubernetes environments.
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.

Responsibilities

  • Design, implement, and maintain cloud-based infrastructure across major cloud providers.
  • Establish and enforce security best practices and infrastructure hardening.
  • Deploy and operate AI agents at scale with high availability and performance.
  • Implement monitoring, logging, and observability for system visibility.
  • Collaborate with product and engineering teams to support evolving requirements; own reliability and on-call duties.

Skills

Cloud infra
Kubernetes
Python
Golang
Security best practices

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Terraform
Helm

Job description

Enigma is seeking a Platform Engineer in Cambridge to design, deploy, and maintain cloud infrastructure for AI workloads. You will ensure performance, security, and cost-efficiency across AWS, GCP, and Azure, while supporting on-call reliability and SLOs.

You will work with engineers to scale AI agents, implement observability, and drive infrastructure improvements in a fast-moving AI environment.

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