Overview In this role you will design, deploy and evolve AWS-based infrastructure to enable AI and data workloads at scale. You will partner with AI, data and operations teams to improve observability, reliability and cost efficiency. You’ll apply Terraform or AWS CDK, and contribute to MLOps initiatives while mentoring others and shaping technical decisions. This hybrid, growth-focused environment values autonomy, knowledge sharing and impact on diverse projects across ERNI.

Compensaciones / Beneficioscertifications covered up to 1,500Private health insuranceFull coverage for sick leaveEmotional, legal and family supportGym discounts or sports compensationFlexible remuneration: meals, transport, childcare ResponsabilidadesDesign, deploy and evolve AWS infrastructure for AI and data environmentsTroubleshoot pipelines and execution environments to support AI and data teamsImprove observability through logs,



metrics and proactive monitoringEnable RAG and AI agent integrationsDevelop internal Python tools, libraries and reusable frameworksImprove cost, performance and security of cloud workloads Requisitos principalesStrong hands-on experience with AWS environments and cloud infrastructureSolid experience with Python and Infrastructure as Code using Terraform or AWS CDKExperience with MLOps, AIOps or Data Platform environments including monitoring and observabilityKnowledge of AI integrations including RAG, LLMs, Claude / Anthropic API or MCPEnglish level B2 or higher and experience with Jira, Confluence and BitbucketAutonomyMentoring and knowledge sharingCross-functional collaborationAWS Cloud InfrastructurePythonTerraform or AWS CDK

📌 Site Reliability Engineer - AWS - barcelona
🏢 Jobrapido
📍 Barcelona