DevOps Engineer

Impelsys; Canoas; Presencial; BRL 432.000 - 542.000; Tempo integral

Resumo da oferta

A leading technology company is seeking an experienced Azure DevOps / Data Platform Engineer to manage CI/CD pipelines for Data Lake components. This role involves implementing Infrastructure-as-Code with Terraform, automating environment provisioning, and ensuring compliance with governance and audit requirements. Ideal candidates will have strong Azure experience and a solid understanding of DevOps practices. The position is based in Brazil and requires support during US EST hours.

Qualificações

• Strong experience with Azure DevOps pipelines and Git.
• Proficiency in Terraform for Infrastructure-as-Code.
• Knowledge of Azure Data services including Data Lake and Data Factory.

Responsabilidades

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

Conhecimentos

Azure DevOps pipelines

Terraform

Azure Data Lake Storage Gen2

Azure Functions

PowerShell

Python

RBAC

Ferramentas

Jira

Confluence

ServiceNow

Descrição da oferta de emprego

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)

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

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.