Senior AI Platform Engineer (Cloud-Native, Kubernetes)

Huxley; Brussel Hoofdstad; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Huxley is seeking a Senior AI Platform Engineer to design, build and operate the secure cloud-native foundation for AI initiatives. You will partner with architects, security, data, and AI teams to ensure a scalable, reliable platform across enterprise environments.

The role emphasizes hands-on engineering, architecture decisions, and governance to enable AI and Generative AI deployments with modern automation and observability practices.

Qualifications

• Solid hands-on experience in platform engineering and cloud infrastructure.
• Experience with AWS and production Kubernetes environments.
• Experience with Infrastructure-as-Code using Terraform.
• Scripting proficiency in Python or Bash.

Responsibilities

• Design, build, and operate cloud-native platform services for AI workloads.
• Manage scalable Kubernetes environments and IaC workflows.
• Develop CI/CD pipelines and automation for platform deployments.
• Ensure security, governance, and identity access controls on the platform.
• Collaborate with AI, data, and security teams to enable AI initiatives.
• Monitor, troubleshoot, and optimize platform performance and cost.

Skills

Platform Engineering

DevOps

SRE

Cloud Infrastructure

AWS

Kubernetes

CI/CD

Python

Bash

Docker

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Terraform

Kubernetes

Docker

Job description

Huxley is seeking a Senior AI Platform Engineer to design, build and operate the secure cloud-native foundation for AI initiatives. You will partner with architects, security, data, and AI teams to ensure a scalable, reliable platform across enterprise environments.

The role emphasizes hands-on engineering, architecture decisions, and governance to enable AI and Generative AI deployments with modern automation and observability practices.