Cloud engineer in infrastructure automation

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• Develop and maintain cloud automation solutions in Microsoft Azure, promoting the secure and efficient use of resources.
• Create and maintain reusable Terraform modules, templates, and workflows for provisioning, configuring, and managing the lifecycle of cloud resources.
• Develop full-stack self-service applications and REST APIs that simplify the use of cloud services by development teams.
• Implement and maintain CI/CD pipelines to automate the validation, testing, and deployment of infrastructure and applications.
• Integrate Azure services with GitHub, ServiceNow, and identity systems, ensuring the security and reliability of integrations.
• Implement security, governance, access control, and secrets management mechanisms.
• Develop automated tests for applications, APIs, infrastructure modules, and cloud services.
• Ensure monitoring, logging, documentation, and operational readiness of the solutions developed.
• Provide operational support for the automation of data processing and analytics services in Azure.
• Identify opportunities for continuous improvement, reducing manual tasks, operational complexity, and delivery times.

• Portuguese (spoken and written) required.
• English (spoken and written) required.
• At least 5 years of professional experience, preferably in an international business environment.
• Strong experience with Microsoft Azure and public cloud solutions architecture.
• Strong knowledge of Terraform and Infrastructure as Code (IaC), including creating reusable modules and automating resource provisioning.
• Experience with CI/CD, GitHub Actions, or equivalent tools.
• Full-stack development experience, including backend with Java/Spring and REST APIs, and frontend with JavaScript/TypeScript and/or React, Angular, or Vue.
• Knowledge of API and platform integration, particularly Azure, GitHub, ServiceNow, and identity services.
• Knowledge of cloud security, including IAM, access control, secrets management, security policies, and governance.
• Experience implementing automated tests, including functional, regression, and deployment tests.
• Knowledge of scripting, particularly PowerShell or equivalent, for automating operational tasks.
• Experience with monitoring, logging, and troubleshooting in production environments.
• Knowledge of containers and Kubernetes, particularly Azure Kubernetes Service (AKS).
• Familiarity with Azure Data & Analytics services, including Azure Data Factory, Databricks, Synapse Analytics, Azure Data Explorer, Event Hubs, Event Grid, Storage Accounts, Cosmos DB, and SQL Server.

• Personalized support focused on career management.
• Stability, trust, and growth.
• Competitive salary and benefits package.