Software Engineer II – Azure Storage

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<div class="isg-job-description“>OverviewMicrosoft Azure Storage is a globally distributed, highly scalable, and universally accessible cloud storage platform. The Azure Storage organization owns the complete storage stack that supports modern artificial intelligence workloads, with a focus on achieving sub-millisecond latencies.The Azure Storage Deployment team builds reliable and high-performance orchestrators that deploy storage services across all regions worldwide. These systems are critical to ensuring consistent service availability and performance at hyperscale.We are seeking a Software Engineer II – Azure Storage,who is enthusiastic about distributed storage and thrives in a fast-paced environment. Success in this role involves solving challenges related to durability, availability, and concurrency while serving millions of requests per second. You will have the opportunity to make impactful contributions daily as part of a team building hyperscale storage systems. 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.
ResponsibilitiesWorks with appropriate stakeholders to determine user requirements for a set of features.Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.Creates and implements code for a product, service, or feature, reusing code as applicable.Contributes to efforts to break down larger work items into smaller work items and provides estimation.Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.Uses Artificial Intelligence (AI) and Machine Learning (ML) technologies to improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.Embody our Culture and Values

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