Data and AI platform engineer

We are looking for an experienced Data and AI Platform Engineer to support the administration, automation, reliability, and continuous improvement of enterprise Cloud, Data, and AI platforms. The professional will work with Microsoft Azure, Azure Databricks, Airflow/Astronomer, Infrastructure as Code, monitoring, CI/CD, and FinOps, ensuring operational stability, scalability, and efficiency.

• Assess platform readiness, including environments, workspaces, catalogs, access, integrations, and technical dependencies.
• Define onboarding, release, deployment, go-live, and operational transition procedures.
• Develop and maintain CI/CD templates, automation, version control processes, and reusable deployment patterns.
• Support deployment, rollback, hypercare, and operational continuity activities.
• Implement monitoring, dashboards, alerts, and reliability metrics, including availability, failures, MTTR, and observability coverage.
• Establish FinOps practices, including tagging, cost allocation, cost monitoring, anomaly detection, and optimization.
• Troubleshoot incidents, investigate root causes, manage remediation actions, and improve platform reliability.
• Maintain technical documentation, runbooks, knowledge bases, and operational standards.
• Support knowledge transfer, platform onboarding, and continuous improvement initiatives.

• Minimum 5 years of experience in Cloud Engineering, Data Platform Engineering, or related enterprise environments.
• Strong hands-on experience with Microsoft Azure Platform Engineering and Azure Administration.
• Proven experience with Azure Databricks Administration.
• Experience administering Astronomer or Apache Airflow platforms.
• Solid knowledge of Infrastructure as Code (IaC), using Terraform and/or Bicep.
• Experience with Azure Monitor, Cloud Operations, and Platform Reliability Engineering.
• Knowledge of CI/CD, Automation Engineering, and operational support processes.
• Experience implementing FinOps practices, cloud cost monitoring, and optimization.
• Strong troubleshooting, root-cause analysis, technical documentation, and stakeholder communication skills.
• Portuguese B2 and English B2, including the ability to produce technical documentation.
• Будет плюсом: Experience with Platform SRE practices and Dynatrace; Knowledge of Microsoft Fabric Administration and Microsoft Purview Administration; Kubernetes fundamentals and DevSecOps practices; Certifications in Microsoft Azure, Databricks, Fabric/Power BI, DevOps, FinOps, ITIL/ITSM, or Security; Certifications are considered additional evidence of expertise and do not replace practical experience

• Условий в вакансии нет