[Job-31501] Senior DevOps, Brazil

The team is responsible for designing, provisioning, and maintaining the infrastructure layer that supports the company’s enterprise data platform. This includes Data Lake environments, Databricks workspaces, pipelines, automations, and Terraform stacks that ensure governance, security, and scalability within Azure Cloud.

Design, version, and automate the creation and maintenance of Azure resources through Terraform (Infrastructure as Code) for data environments (Storage Accounts, Private Endpoints, Networking, Key Vaults, Databricks).

Maintain and evolve CI/CD pipelines in Azure DevOps (YAML, gates, service connections) for infrastructure and deployment of notebooks/data jobs.

Integrate data infrastructure with the platform by provisioning Databricks workspaces and clusters, configuring jobs/tasks via infrastructure or APIs.

Write and maintain Bash/Python scripts for automation, deployment, and observability/logging.

Collaborate with data, analytics, security, and architecture teams to ensure the infrastructure meets compliance, governance, cost, and performance requirements.

Apply naming/tagging conventions, cost management, and multi-subscription governance within Azure.

Contribute to code reviews, enforce IaC best practices, improve documentation, and deliver high-quality, reliable infrastructure solutions.

Strong experience with Azure (Resource Groups, Storage, Networking, Key Vault, RBAC, Policies, Private Endpoints).

Proficiency in Terraform (modules, remote state management, workspaces, deployment automation).

Hands-on experience with Azure DevOps Pipelines (YAML, tasks, variables, gates).

Experience with Git, GitOps, and CI/CD practices for infrastructure code.

Ability to operate across multiple subscriptions, following naming, tagging, and cost management standards.

Certifications such as Azure DevOps Engineer, Azure Solutions Architect, or Terraform Associate.

Experience with containerization and orchestration (Docker, Kubernetes/AKS).

Experience with secret rotation, Service Principals (SPNs), Managed Identities, and Key Vaults in data environments.

Familiarity with DataOps practices, infra-data integration, and automation of notebooks/data jobs as part of infrastructure.

Exposure to observability and monitoring tools in Azure (Log Analytics, Application Insights, Azure Monitor).

GitLab CI/CD (pipelines, multi-environment promotion: dev → test → UAT → prod)
Networking (NLB, DNS, security groups, WAF)
Monitoring and observability (CloudWatch, Dynatrace)

Collaborative mindset, able to work across multidisciplinary teams (Data, Security, Architecture).

Strong technical communication and documentation skills.

Automation-driven and governance-focused approach, with attention to quality and standardization.

Product-oriented mindset: not just making things work, but making them work well and scale effectively.

Bring technical maturity and a strategic mindset to strengthen the foundation of our data infrastructure.

Be capable of designing, coding, and delivering end-to-end Cloud solutions for data platforms.

Help elevate our internal standards, automation practices, governance, and delivery quality.

If you like it, just apply and good luck!

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