Senior AIOps Engineer: AWS, Python, MLOps (Hybrid)

ERNI; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications covered up to €1,500

Private health insurance

Sick leave fully covered

Emotional, legal, and family support

Gym discounts

Flexible remuneration

Referral bonuses

23 vacation days

Language courses

Descripción de la vacante

ERNI is seeking a senior cloud engineer to build and evolve AWS-based AI and data platform infrastructure. You will enhance cost, performance and security while enabling RAG and AI agent integrations and improving observability.

You will support AI and Data teams, develop internal Python tools, and collaborate with experts across projects. The role offers mentorship, a hybrid work model, and growth opportunities within ERNI.

Formación

• Experience with AWS environments and cloud infrastructure.
• Experience with Python and Infrastructure as Code (Terraform or AWS CDK).
• Experience with MLOps, AIOps or Data Platform environments including monitoring, troubleshooting and observability.
• Knowledge of AI integrations including RAG, LLMs, Claude / Anthropic API or MCP.
• English level B2 or higher; experience with Jira, Confluence and Bitbucket.

Responsabilidades

• Design, deploy and evolve AWS infrastructure for AI and data environments.
• Improve cost, performance and security while supporting AI and Data teams.
• Enable RAG and AI agent integrations and improve observability through logs and metrics.
• Develop internal Python tools, libraries and reusable frameworks.

Conocimientos

AWS

Python

Infrastructure as Code

MLOps

Data Platform

RAG/LLMs

Claude/Anthropic API

MCP

Jira

Confluence

Bitbucket

English B2+

Herramientas

AWS CDK

Terraform

Descripción del empleo

ERNI is seeking a senior cloud engineer to build and evolve AWS-based AI and data platform infrastructure. You will enhance cost, performance and security while enabling RAG and AI agent integrations and improving observability.

You will support AI and Data teams, develop internal Python tools, and collaborate with experts across projects. The role offers mentorship, a hybrid work model, and growth opportunities within ERNI.