Aiops Engineer - Aws Python - Ai Data Platform

OverviewIn this role, you design, deploy and evolve AWS-based cloud infrastructure to support AI and data environments, driving reliability, cost efficiency and security.You collaborate with cross-functional teams to enable RAG and AI agent integrations and improve observability and performance.You mentor and share knowledge, while growing your technical influence and autonomy in a supportive, growth-focused culture.This is a hands-on senior position shaping AI/data platform operations at ERNI.Compensaciones / Beneficiosprivate health insurancefull coverage for sick leavefree emotional, legal, and family supportgym discounts or sports compensationflexible remuneration: meals, transport, childcare23 working days of vacationResponsabilidadesDesign, deploy and evolve AWS infrastructure for AI and data environmentsTroubleshoot pipelines and execution environments to support AI and data teamsEnable RAG and AI agent integrations and enhance observability via logs and metricsDevelop internal Python tools, libraries and reusable frameworksImprove cost, performance and security of cloud infrastructureCollaborate with cross-functional teams and mentors to drive technical excellenceRequisitos principalesStrong hands-on AWS experienceSolid Python and Infrastructure as Code (Terraform or AWS CDK) experienceExperience with MLOps, AIOps or Data Platform observabilityKnowledge of AI integrations including RAG, LLMs (Claude/Anthropic/API), MCPEnglish level B2+ and experience with Jira, Confluence and BitbucketAbility to design, deploy and evolve AWS infra for AI/data environments and troubleshoot pipelinesAutonomy and accountabilityMentorship and knowledge sharingCross-functional collaborationAWS environments and cloud infrastructurePython programmingTerraform or AWS CDK for IaC

Solid Python and Infrastructure as Code (Terraform or AWS CDK) experience Experience with MLOps, AIOps or Data Platform observability Knowledge of AI integrations including RAG, LLMs (Claude/Anthropic/API), MCP English level B2+ and experience with Jira, Confluence and Bitbucket Ability to design, deploy and evolve AWS infra for AI/data environments and troubleshoot pipelines Autonomy and accountability Mentorship and knowledge sharing Cross-functional collaboration AWS environments and cloud infrastructure Python programming Terraform or AWS CDK for IaC