Senior AIOps Engineer: AWS, Python & MLOps

ERNI; Madrid; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certification coverage

Private health insurance

Sick leave coverage

Emotional support

Legal support

Family support

Gym discounts

Flexible remuneration

Referral bonuses

23 vacation days

Language courses

Descripción de la vacante

ERNI is looking for a senior professional to design, deploy, and evolve AWS infrastructure for AI and data environments while driving cost, performance, and security improvements. You will support AI workflows, troubleshoot pipelines, and enable RAG/AI agent integrations.

In this hybrid Madrid role, you will mentor others, share knowledge, and contribute to architectural decisions with autonomy and impact.

Formación

• Strong hands-on experience with AWS and cloud infrastructure.
• Proficiency in Python and infrastructure as code (Terraform or AWS CDK).
• Experience with MLOps/AIOps and data platform environments.
• Knowledge of AI integrations including RAG/LLMs.
• English level B2 or higher; experience with Jira/Confluence/Bitbucket.

Responsabilidades

• Design, deploy and evolve AWS infrastructure for AI and data environments.
• Troubleshoot pipelines and execution environments to support AI workloads.
• Enable RAG and AI agent integrations and improve observability with logs and metrics.
• Develop internal Python tools, libraries and reusable frameworks.

Conocimientos

AWS

Python

Terraform

AWS CDK

MLOps

Observability

English B2

Jira

Confluence

Bitbucket

Data Platform

Cloud infra design

Herramientas

AWS CDK

CI/CD

Descripción del empleo

ERNI is looking for a senior professional to design, deploy, and evolve AWS infrastructure for AI and data environments while driving cost, performance, and security improvements. You will support AI workflows, troubleshoot pipelines, and enable RAG/AI agent integrations.

In this hybrid Madrid role, you will mentor others, share knowledge, and contribute to architectural decisions with autonomy and impact.