Python jobs in United States
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Global Banking & Markets, Analyst, FICC EM Structuring, Sao Paulo
Goldman Sachs Group, Inc.
DevOps Engineer
Job summary
A global technology solutions provider is hiring an Azure DevOps / Data Platform Engineer in São Paulo, Brazil. This role involves architecting and maintaining CI/CD pipelines for Data Lake components, implementing Infrastructure-as-Code with Terraform, and ensuring compliance with security and audit standards. The ideal candidate should have strong Azure DevOps and scripting skills, with experience in building observability mechanisms and disaster recovery patterns. Join a dynamic team focused on automating operations and optimizing performance in cloud environments.
Qualifications
- Proficient in Azure DevOps and data pipeline management.
- Experience with Terraform and Infrastructure-as-Code practices.
- Strong skills in scripting languages like PowerShell and Python.
Responsibilities
- Architect and maintain CI/CD pipelines for Data Lake components.
- Implement Infrastructure-as-Code with Terraform for provisioning.
- Build observability for platforms and maintain disaster-recovery patterns.
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)
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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.