DevOps Engineer

Impelsys; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading tech company in Brazil is seeking an experienced Azure DevOps / Data Platform Engineer to architect and maintain CI/CD pipelines for various data components. The ideal candidate will automate environment provisioning and enforce security within the Azure data environment. The role offers a unique opportunity to work with the latest Azure technologies and drive improvements in operational processes. Knowledge of Terraform, Azure Data Lake, and scripting languages like PowerShell is essential.

Qualificações

• 5+ years of experience in Azure DevOps and Data Platform engineering.
• Strong knowledge of CI/CD practices and Infrastructure-as-Code using Terraform.

Responsabilidades

• Architect and maintain CI / CD pipelines for Data Lake components.
• Implement Infrastructure-as-Code with Terraform.
• Automate environment provisioning and ACL management.

Conhecimentos

Azure DevOps pipelines

Terraform

Azure Data Lake Storage Gen2

Azure Data Factory

PowerShell

Python

RBAC

CI / CD patterns

Ferramentas

Jira

Confluence

ServiceNow

Descrição da oferta de emprego

Azure DevOps / Data Platform Engineer

Hiring Immediately - Azure DevOps / Data Platform Engineer in (LATAM / Brazil, US EST Shift)

Technical Skills

• 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)
• Log Analytics, Application Insights, Azure Monitor
• PowerShell, Python, Bash
• RBAC, managed identities, secrets management, encryption
• CI / CD patterns, release strategy design, automated testing frameworks
• Jira, Confluence, ServiceNow

Support

US EST (Mon-Fri 9:00am-5:00pm)(Best Fit)

Roles and Responsibilities

• Architect and maintain CI / CD pipelines for Data Lake components: Data Factory, Databricks, Functions, Synapse, Spark workloads, storage configurations.
• 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.
• Drive continuous reduction of manual operational work through automation.