Kubernetes Platform Engineer for AI/ML Production Systems

MarvelX AI; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

MarvelX AI is hiring a DevOps / Platform Engineer to own and evolve our cloud and Kubernetes infrastructure. You will work closely with Product, Engineering, and ML to keep our platform scalable, secure, and production-ready as we grow.

This is a full-time, hybrid role based in Amsterdam, with at least 3 days in the office. You will focus on reliability, observability, and cost efficiency while collaborating with a small, senior, highly technical team.

Qualifications

• Kubernetes in production experience.
• Experience with AWS, GCP, or Azure; multi-cloud preferred.
• Terraform expertise for infra as code.
• GitLab CI/CD or similar pipelines experience.
• Strong Docker fundamentals.
• Observability tooling experience (Prometheus, Grafana, ELK, OpenTelemetry).
• Linux scripting with Bash or Python.
• Interest or experience supporting AI/ML systems.

Responsibilities

• Own and operate Kubernetes clusters running production workloads
• Build and maintain infrastructure across AWS, GCP, and Azure
• Define infrastructure as code using Terraform
• Build and maintain GitLab CI/CD pipelines
• Containerize and deploy services using Docker
• Support AI/ML workloads (model serving, batch jobs, GPU workloads)
• Improve reliability, security posture, and cost efficiency
• Partner with engineering to design production-ready architectures

Skills

Kubernetes production operations

Cloud platforms (AWS/GCP/Azure)

Terraform

GitLab CI/CD

Docker

Observability tooling

Linux scripting (Bash, Python)

AI/ML workload support

Tools

Kubernetes

Terraform

GitLab CI/CD

Docker

Prometheus

Grafana

ELK

OpenTelemetry

Job description

MarvelX AI is hiring a DevOps / Platform Engineer to own and evolve our cloud and Kubernetes infrastructure. You will work closely with Product, Engineering, and ML to keep our platform scalable, secure, and production-ready as we grow.

This is a full-time, hybrid role based in Amsterdam, with at least 3 days in the office. You will focus on reliability, observability, and cost efficiency while collaborating with a small, senior, highly technical team.