Service Engineer 2
Hyderabad · Mid Level
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Job description
About Providence
At Providence, we are grounded in our goal to serve all as we engineer the future of healthcare. Providence Global Innovation Center is the first development and innovation center of Providence outside the United States.
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Best-in-Class Benefits |
Inclusive Leadership |
Challenging Work |
Competitive Pay |
Employee-Friendly Policies |
What will you be responsible for?
- Administer Microsoft Fabric capacities, workspaces, tenant settings, OneLake, and platform governance controls.
- Manage and support Azure cloud infrastructure, identity, security, networking, monitoring, and platform services.
- Ensure the availability, performance, scalability, security, and cost efficiency of Azure and Fabric environments.
- Partner with architects, data engineers, application teams, and stakeholders to deliver cloud and data platform solutions.
- Drive automation, standardization, technical documentation, and continuous improvement across platform operations.
What would your day look like?
- Monitor Fabric capacity utilization, platform health, service availability, and Azure operational alerts.
- Configure workspaces, access controls, deployment settings, gateways, connections, and data governance policies.
- Support Fabric workloads including Data Factory, Lakehouse, Data Warehouse, Real-Time Analytics, Power BI, and OneLake.
- Troubleshoot platform, pipeline, connectivity, integration, security, and performance issues.
- Implement RBAC, Microsoft Entra ID integration, Key Vault, Azure Policy, Log Analytics, and compliance controls.
- Automate administration and support tasks using PowerShell, Python, Azure Automation, and Azure DevOps pipelines.
- Support cloud modernization, migration, incident management, capacity planning, and FinOps initiatives.
Who are we looking for?
- 3-5 years of hands-on experience in Azure Cloud Engineering, Administration, or Platform Operations.
- Practical experience administering Microsoft Fabric capacities, workspaces, tenant settings, security, and governance.
- Strong knowledge of Azure Virtual Machines, Storage, Networking, Azure Monitor, Log Analytics, Microsoft Entra ID, Key Vault, and RBAC.
- Experience with OneLake, Data Factory, Lakehouse, Data Warehouse, Power BI administration, SQL, and ETL/ELT concepts.
- Experience with scripting and automation using PowerShell, Python, Azure CLI, or equivalent tools.
- Knowledge of CI/CD, Azure DevOps, Infrastructure as Code, incident management, and Agile delivery practices.
- Strong troubleshooting, communication, documentation, ownership, and stakeholder-management skills.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
AI and Innovation Requirements
- Working knowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot, and AI capabilities available within Microsoft Fabric.
- Ability to identify and implement AI-driven automation for monitoring, anomaly detection, reporting, incident triage, and operational efficiency.
- Exposure to supporting secure data pipelines and cloud environments for AI/ML and predictive analytics workloads is preferred.
Preferred Qualifications
- Experience with Azure Synapse Analytics, Azure Databricks, or similar modern data platforms.
- Experience with Terraform, Bicep, or ARM templates and cloud cost optimization practices.
- Microsoft Azure Administrator, Fabric Analytics Engineer, or related certification is preferred.
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