MLOps Platform Engineer - Self-Service AI on AWS

Admiral Europe Tech | Admiral Group

Sevilla

On-site

EUR 60,000 - 90,000

Full time

25 hours ago
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Job summary

Admiral Europe Tech is building and operating the self-service AI/ML platform of the European Data Platform on AWS. You will enable users to deploy models, functions and GenAI agents through CI/CD pipelines in a secure, multi-account environment.

You will work with security, networking and platform teams, align with the target architecture, and help bring ML/GenAI solutions to production across teams and countries. English proficiency is essential.

Qualifications

  • Experience building self-service DevOps tools and pipelines.
  • AWS multi-account setup: IAM, VPC, KMS, Secrets Manager.
  • Infrastructure as code: CDK or CloudFormation; Terraform valued.
  • CI/CD: GitLab CI or equivalent; environment-based deployments.
  • Python with testing, packaging and Docker.
  • English proficiency for collaboration with teams in other countries.
  • Experience with AI coding assistants such as Claude Code or GitHub Copilot.

Responsibilities

  • Work with security, networking and platform teams to guarantee a secure and stable environment.
  • Collaborate with Data Architect to align development with target architecture.
  • Partner with MLOps developers and platform users to bring ML and GenAI to production.

Skills

DevOps platform
AWS multi-account
CI/CD pipelines
Python
Docker
Git/Gitflow
English proficiency
GenAI tools

Tools

AWS CDK
CloudFormation
Terraform
GitLab CI
Git
Docker
Kubernetes

Job description

Admiral Europe Tech is building and operating the self-service AI/ML platform of the European Data Platform on AWS. You will enable users to deploy models, functions and GenAI agents through CI/CD pipelines in a secure, multi-account environment.

You will work with security, networking and platform teams, align with the target architecture, and help bring ML/GenAI solutions to production across teams and countries. English proficiency is essential.

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