Aiops Engineer - Aws - Barcelona

Overview Join ERNI as a Senior Cloud Platform Engineer to design, deploy and evolve AWS-based infrastructure for AI and data environments.You will work with cross-functional teams to improve observability, reliability and scalability of workloads, including RAG and AI integrations.The role offers mentorship opportunities, a focus on technical excellence, and hybrid collaboration with a culture that values growth and knowledge sharing.You’ll continue expanding your skills while shaping solutions for AI and data platform operations.Compensaciones / Beneficios Private health insurance Full coverage for sick leave Emotional, legal, and family support Gym discounts or sports compensation Flexible remuneration (meals, transport, childcare) Referral bonuses: up to ** per candidate and ** per client Responsabilidades Design, deploy and evolve AWS infrastructure for AI and data environments with a focus on cost, performance and security Troubleshoot pipelines and execution environments to support AI and Data teams Enable RAG and AI agent integrations and improve observability through logs and metrics Enhance monitoring, troubleshooting and proactive observability across platforms Develop internal Python tools, libraries and reusable frameworks Contribute to cloud platform operations and automation using Terraform or AWS CDK Requisitos principales Strong hands-on experience with AWS environments and cloud infrastructure Solid experience with Python and Infrastructure as Code (Terraform or AWS CDK) Experience with MLOps, AIOps or Data Platform environments including monitoring 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 autonomy mentoring or willingness to mentor collaboration with cross-functional teams AWS Python Terraform

Compensaciones / Beneficios Private health insurance Full coverage for sick leave Emotional, legal, and family support Gym discounts or sports compensation Flexible remuneration (meals, transport, childcare) Referral bonuses: up to ** per candidate and ** per client Responsabilidades Design, deploy and evolve AWS infrastructure for AI and data environments with a focus on cost, performance and security Troubleshoot pipelines and execution environments to support AI and Data teams Enable RAG and AI agent integrations and improve observability through logs and metrics Enhance monitoring, troubleshooting and proactive observability across platforms Develop internal Python tools, libraries and reusable frameworks Contribute to cloud platform operations and automation using Terraform or AWS CDK Requisitos principales Strong hands-on experience with AWS environments and cloud infrastructure Solid experience with Python and Infrastructure as Code (Terraform or AWS CDK) Experience with MLOps, AIOps or Data Platform environments including monitoring 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 autonomy mentoring or willingness to mentor collaboration with cross-functional teams AWS Python Terraform