Senior Software Engineer - Cloud & AI

at  Microsoft

At Microsoft, our core mission is empowering every person and every organization on the planet to achieve more. Within the Dataverse group, our AI Builder team builds platform level capabilities powering GPT based Copilot capabilities across the low code Power Platform and line of business Dynamics 365 applications. We deliver solutions our customers can use through automation, conversational experiences and applications by leveraging state of the art generative AI models to easily solve complex business problems.
We are looking for experienced software engineers to build distributed cloud services. This role provides an opportunity to impact one of the fastest growing fields at the intersection of low-code no-code and AI, which are both critical to the Microsoft Cloud & AI strategy. You will have an opportunity to scale up our ability to serve generative AI and innovate in how it can be applied. You will be part of a world class team operating across several European countries, with engineers, product managers, designers and leaders that will help you grow your career.

QUALIFICATIONS

Required qualifications:

• Extensive experience building modern cloud services using best design principles.
• Passion for creating innovative products.
• Great cross-team collaboration skills.
• Professional English.

Preferred qualifications:

• Proficiency in development technologies such as Asp.Net Core and C#.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

• Design, implement and operate distributed cloud services features at scale.
• Partner with product managers to define and evolve the product.
• Drive quality, responsible AI, security, and privacy into the product.
• Collaborate across teams to solve problems that span technologies and codebases.