Chief Automation Officer

3 semanas atrás

Porto Alegre RS, Brasil beBeeAutomation Tempo inteiro

DevOps Engineer We are seeking a skilled DevOps Engineer to join our team. This role involves designing and implementing CI/CD pipelines for Data Lake components, infrastructure-as-code provisioning with Terraform, and enforcing branching discipline. Azure DevOps pipelines, Git repos, artifact management Terraform, IaC governance patterns Azure Data Lake Storage Gen2, hierarchical namespace, ACL models Azure Data Factory, Databricks, Synapse, Spark Azure Functions, Key Vault, networking (VNets, private endpoints, firewalls) Monitoring stacks: Log Analytics, Application Insights, Azure Monitor Scripting: PowerShell, Python, Bash Security controls: RBAC, managed identities, secrets management, encryption CI/CD patterns, release strategy design, automated testing frameworks You will work closely with data engineering teams to deliver reusable automation modules and optimize workload performance within the Data Lake environment. This is an exciting opportunity to drive continuous reduction of manual operational work through automation and ensure compliance with governance, audit requirements, and data protection mandates. The ideal candidate will have expertise in cloud computing, automation, and security. If you are passionate about delivering high-quality solutions and working in a collaborative environment, we encourage you to apply for this role. We offer a competitive compensation package, comprehensive benefits, and opportunities for growth and professional development. Architect and maintain CI/CD pipelines for Data Lake components Implement Infrastructure-as-Code with Terraform for provisioning storage accounts, networking, compute, identity, and security layers Enforce branching discipline, artifact integrity, automated testing, and controlled release gates Automate environment provisioning, ACL management, key rotation, lifecycle policies, and cluster configuration Integrate DevOps processes with enterprise security: RBAC, managed identities, Key Vault, private networking, encryption controls Build observability: logging, metrics, alerting, dashboards for pipelines and platform components Maintain backup, restoration, disaster-recovery patterns and test them for reliability Eliminate configuration drift through standardized templates and environment baselines Maintain and optimize agents, service connections, and deployment runtimes Perform incident response and root-cause analysis, document systemic fixes Deliver reusable automation modules for data engineering teams Optimize workload performance and cost within the Data Lake environment Ensure compliance with governance, audit requirements, and data protection mandates

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