Software Engineer (AI/ML) - Azure Core Storage
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About Azure Storage
Azure Storage, the core of Microsoft's Azure Cloud, provides 10 exabytes of capacity across 50 regions, 100+ data centers, and over 1000 storage clusters. It powers millions of virtual machines, holds millions of hours of video, billions of photos, and vast amounts of analytics data.
Role Overview
As a Software Engineer in Azure Storage, you will define the technical direction of Azure Storage's complex components, delivering improvements and innovative features with high quality. You will work on cutting-edge server technologies and distributed systems, focusing on reliability, scalability, performance, and debuggability.
Our Mission and Culture
Microsoft’s mission is to empower every person and organization to achieve more. We foster a growth mindset, innovation, collaboration, and a culture of inclusion where everyone can thrive.
Responsibilities
1. Collaborate with stakeholders to determine user requirements for features.
2. Identify dependencies and develop design documents for product features.
3. Learn to create and implement code for products, reusing code where applicable.
4. Break down work items into tasks and provide estimates.
5. Monitor system or product features for issues, recommend actions to restore service following established protocols.
6. Review developments and seek knowledge to improve system availability, reliability, efficiency, observability, and performance, ensuring consistency in monitoring and operations at scale.
Qualifications
Required
* Bachelor's Degree in Computer Science or related field, with proven experience in coding languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
Other Requirements
* Ability to meet security screening requirements, including passing the Microsoft Cloud Background Check upon hire and every two years.
Preferred
* Master's Degree or 1+ years of experience in cloud storage, distributed systems, or large-scale ML data processing, or AI technologies with cloud platforms like Azure Synapse or Azure Machine Learning.
Additional Details
* Employment Type: Full-time
* Job Function: Engineering and IT
* Industry: Software Development
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