Experteer 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 / Beneficios
- Design, deploy and evolve AWS infrastructure for AI and data environments
- Troubleshoot pipelines and execution environments to support AI and data teams
- Improve observability through logs, metrics and proactive monitoring
- Enable RAG and AI agent integrations
- Develop internal Python tools, libraries and reusable frameworks
- Improve cost,



performance and security of cloud workloadsResponsabilidades
- Strong hands-on experience with AWS environments and cloud infrastructure
- Solid experience with Python and Infrastructure as Code using 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 and experience with Jira, Confluence and BitbucketRequisitos principales
- certifications covered up to 1,500
- Private health insurance
- Full coverage for sick leave
- Emotional, legal and family support
- Gym discounts or sports compensation
- Versátil remuneration: meals, transport, childcare

📌 Site Reliability Engineer - Aws (Barcelona)
🏢 Erni
📍 Barcelona