DevOps Engineer

Impelsys; Teresina; Híbrido; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology company seeks an Azure DevOps / Data Platform Engineer to architect and maintain CI/CD pipelines for various Data Lake components. The role requires strong expertise in Azure services and Infrastructure-as-Code principles, particularly with Terraform. Responsibilities include automating environments, managing security controls, and optimizing workload performance within the Data Lake environment. Ideal candidates will have experience in CI/CD patterns, monitoring stacks, and incident response strategies.

Qualificações

• Proven experience with CI / CD pipeline architecture and maintenance.
• Strong knowledge in Infrastructure-as-Code principles using Terraform.
• Experience in Azure services such as Data Factory, Databricks, and Functions.

Responsabilidades

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

Conhecimentos

Azure DevOps pipelines

Terraform

Azure Data Factory

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.