Skills
Microsoft Azure
Cloud infrastructure
Data engineering
Platform operations
API integration
Azure PaaS
Data pipelines
CI/CD
Infrastructure as Code
Cloud monitoring
Incident troubleshooting
Cloud security
AI services
Azure Synapse
Azure SQL
Azure Data Lake Storage
Azure Functions
Azure Key Vault
Azure API Management
Summary
✨ AI‑Generated
Work remotely as an Azure Platform Engineer supporting a secure, scalable enterprise data and analytics environment. You will maintain Azure PaaS services, build data pipelines and APIs, automate deployments with CI/CD and Infrastructure as Code, troubleshoot platform incidents, and support managed AI and document-processing capabilities. The role spans cloud infrastructure, data engineering, platform operations, security, and continuous improvement.
Highlights
Work remotely on an enterprise Azure data and analytics platform spanning cloud infrastructure, data engineering, APIs, AI services, CI/CD, infrastructure as code, monitoring, and security.
Description
Azure Platform Engineer (Remote Work)
About the Role
We are looking for an experienced Azure Platform Engineer to support and enhance an enterprise Azure-based data and analytics platform.
You will work across cloud infrastructure, data engineering, platform operations, API integrations, and AI services, collaborating with cross-functional teams to deliver secure, scalable, and reliable solutions.
Key Responsibilities
Support and optimize Azure platform services across production and non-production environments.Build and maintain data pipelines, integrations, APIs, and Azure PaaS services including Azure Synapse, Azure SQL, Data Lake Storage, Function Apps, Key Vault, and API Management.Monitor platform health, troubleshoot incidents, and drive continuous service improvements.Support automated deployments using CI/CD and Infrastructure as Code (IaC).Enable and support AI services, including managed AI models and document processing capabilities.Implement security, monitoring, governance, and technical documentation.Collaborate with engineering, architecture, product, and business teams to deliver platform enhancements.
Skills & Experience
Essential
Hands-on experience with Azure Platform Engineering in enterprise environments.Strong knowledge of Azure Synapse, Azure SQL, Azure Storage, DataLake, Azure PaaS, and API Management.Experience with SQL, data engineering, CI/CD, Infrastructure as Code, monitoring, and Azure security.Strong troubleshooting, documentation, and stakeholder communication skills.Desirable
Experience with Azure OpenAI, Google Gemini, or similar AI services.Knowledge of LLM integrations, Azure AI Document Intelligence, and Python.Azure certification and experience supporting enterprise data or analytics platforms.
