Job Description

You know that our customers count on Azure. Do you know which team Azure counts on for its platform stability and availability? Well, look no further than our team.

As platform owners which runs a variety of operating systems and a huge combinatorics of hardware, you are only limited by your imagination when it comes to challenges to solve.

Your role will give an opportunity to onboard cutting-edge hardware and the system software associated with it, into Azure data centres. You will be involved in onboarding, lifecycle management and continuous improvements based on intelligent data gathering and an analytical feedback loop based on that. All the way up to reporting infrastructure to our management and partners.

Responsibilities:

As a member of our team your role would be to improve availability of Azure Platform and its services to all our customers, directly contributing to Azure Business Goals.

In this role, you will learn how to deal with large scale data centres, their redundancy and availability, which is the core of the SLA that we promise our customers. Smart data gathering and an analytical pyramid on top of that will be a skillset that will come with the responsibility.

Core Skills:

• Identify data sources, integrate multiple sources, or types of data, and apply expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data.
• Apply (or develop if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
• Transform formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors.
• Interpret results and develop insights into formulated problems within the business/customer context and provides guidance on risks and limitations.
• Present findings to product and engineering leadership and incorporates feedback on the analyses.
• Acquire and use broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and apply own analysis of scalability and applicability to the formulated problem.
• Validate, monitor, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results.
• Work collaboratively to translate the business needs into metrics and then work with engineering to implement these metrics including identifying and obtaining the necessary data.

Qualifications:

• 10+ years of experience in commercial software development. (Required)
• Breadth and depth technical knowledge in software engineering. (Required)
• Experience in handling large software engineering projects, modularizing them into deliverables for the team, shepherding them to quality delivery, and working closely with engineering partners across the globe. (Required)
• BS in Computer Science or higher, equivalent industry experience (Required)
• Demonstrated problem solving and debugging skills. (Required)
• Experience in building, shipping, and operating reliable software preferably with experience in large scale high availability distributed systems.
• Strong data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Deep understanding of big data systems. Solid foundation of statistical modeling and machine learning algorithms and experimental design.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the .

Microsoft