Senior Software Engineer - Azure Storage
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Sep 21, 2025 | |
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OverviewAzure Storage Developer Experience builds and maintains client-side tools and SDKs which empower our customers to access their data in Azure Storage.We are looking for a Senior Software Engineer - Azure Core to contribute to our client-side Machine Learning (ML), Storage Command-Line Interface (CLI), and Storage PowerShell (PS) projects.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesCollaborates with appropriate stakeholders to determine user requirements for a scenario.Drives identification of dependencies and the development of design documents for a product, application, service, or platform.Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. | |