Microsoft Core Services Engineering is driving a digital transformation. With technology evolving at a rapid pace, companies face increasing pressure to move faster. To create new capabilities. To deliver more innovative solutions. Microsoft Core Services Engineering is addressing those challenges by rethinking our entire approach to technology-rather than simply making more of it.
Join us to help power the digital transformation at Microsoft and impact millions.
We’re not just early adopters. We’re the earliest adopters. Microsoft Core Services Engineering is the first to deploy the latest Microsoft software, services, and devices at scale in a commercial environment. We have the privilege of influencing future Microsoft products while introducing new ways for our company to connect, collaborate, and be more productive.
Check out what it’s like to work for Microsoft Core Services Engineering, from some of our most pioneering IT experts.
"Leadership is not designated by position or rank at Microsoft. Leadership is unbounded-allowing anyone with tenacity to make bold change."
With Microsoft Core Services Engineering, you’ll have an amazing range of opportunities. You can become an expert in a particular field or build proficiencies across many areas. You might be an individual contributor or become a manager. One thing is certain, you’ll never stand still in Microsoft.
"We’re using artificial intelligence, the cloud, and data analytics to create new services and products that didn’t exist before. Every day we’re learning and refining what we do with one clear goal in mind – we want to replicate our work in ways that allow us to help more than one customer at a time. And when we do that, we also want to find ways for Microsoft to monetize our efforts.
And we’re already putting this into action."
Director of Data Science
"We used to value the efficiency of data centers. Now we care about how I can run my business as effectively as possible with the lowest cloud bill possible. Every quarter, my team is accountable for a set of metrics that define how efficiently we’re running. We’re trying to target less than 3 percent waste..
The beauty of this, is that by learning what it takes for a real enterprise to transform to the cloud, we’re able to teach Microsoft product teams, and, in many cases, directly influence the course of product development."
Principal Software Engineering Manager
"Core to our own journey at Microsoft is the Internet of Things. We have been exploring ways to add business value by bringing IoT sensors into our enterprise. Our initial pilot focused on driving greater insights and productivity into open floor plan environments. Since then, we have learned a lot and are advancing our thinking through an evolving Smart Building strategy and framework that includes four key areas: Building automation, Energy management, Space utilization, and Occupant productivity."
Principal PM Manager
"My team does all of what you would call the “run work” — we’re responsible for keeping the stores up from an IT perspective. In addition to running all core services – the back-end systems, Point of Sale, every machine in the store, and more – we run the helpdesk I mentioned earlier, we provide multiple levels of support, and we own sustained engineering, which has become increasingly critical as we move to the cloud."
Principal Group Manager
"Believe it or not, Microsoft Core Services Engineering is a Microsoft customer—we like to say the first and best Microsoft customer, and IT Showcase is about exposing all of the knowledge and information that comes from that relationship. I talk to customers and answer questions you may have about how we deployed a technology or service. I’ll tell you the good, the bad, and the ugly—how we failed or stumbled, and ultimately how we persevered and succeeded in cracking a particular nut."
Business Program Manager
"Moving machine learning to the cloud meant that we could showcase the Azure Machine Learning services and do it in a way that set an example for the financial services industries. If you can trust your most sensitive forecasting data in the cloud, then you can probably trust almost all your sensitive data in the cloud. Moving our financial forecasting data to Azure Machine Learning services means that we met that tipping point."
Senior Program Manager