DevOps Engineer

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

We’re hiring builders who want to solve meaningful problems with AI.
Our team values clarity, speed, and doing work that lasts.

About MarvelX

MarvelX builds AI agents for regulated industries such as insurance and financial services. Our systems run in real production environments where reliability, security, and observability matter as much as model quality.

We’re looking for 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 with at least 3 days a week in the office.

What you will do

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

What we’re looking for

Strong hands-on experience operating Kubernetes in production

Experience with at least one major cloud provider (AWS, GCP, or Azure); multi-cloud experience is a plus

Solid Terraform experience managing real infrastructure

GitLab CI/CD or similar pipeline tooling experience

Strong Docker fundamentals

Experience with observability tooling (Prometheus, Grafana, ELK, OpenTelemetry, or similar)

Linux and scripting skills (Bash, Python, etc.)

Interest or experience supporting AI/ML systems

Nice to have

Helm or Kustomize

Exposure to security and compliance environments (SOC 2, ISO 27001)

Own the platform of a production AI company

Small, senior, highly technical team

Direct impact on reliability, security, and scale

Competitive salary + equity

Location & eligibility

Based in Amsterdam, at least 3 days a week in the office. Work eligibility in the Netherlands required; we are not able to sponsor visas in the Netherlands yet.

The audit-ready AI workforce for modern insurance carriers and TPAs.