Software Engineer at Microsoft

Software Engineer Details

June 26, 2019, 10:20 p.m.
Engineering
Individual Contributor
Full-Time
Redmond, WA
Windows, Office, Web,
Come shape the way people around the world engage with Microsoft's products and services. Our goal is to drive growth in customer engagement and monetization across all Microsoft's consumer products and services. The system understands customers (via a central customer knowledge graph), knows where they are and how to reach them (integrated across surfaces), manages campaigns (booked and optimized by humans and machines) that make offers (get an app, use Edge) over the customer lifecycle, in order to drive growth. Using human and machine learning, the system strives to make the right offer, to the right customer, in the right place, at the right time. As an Engineer in our team, you will deliver groundbreaking experiences across multiple surfaces for Microsoft (Windows, Office, Web, Xbox and Email). In this position, you will be expected to design, build, and ship features to enable and enhance these experiences. You will contribute to deliver new and improved functionality to customers

Design and develop web services and high-scale data platforms Participate in code reviews, design reviews and implement best practices. Code, Deploy and maintain production services leveraging Microsoft Azure technology stack. Be a self-motivated, bold thinker, innovator and builder of scalable systems end-to-end.
Bachelor's degree or higher in computer science or related quantitative field. 2+ years of software development experience in the industry Software development experience with C#/.NET Framework and knowledge in Python/Scala Web services experience and knowledge about WebAPI/RESTful services. Extensive experience with Big Data management systems like Cosmos, Spark or Hadoop. Good understanding of machine learning concepts and Applied AI techniques Solid grasp of object-oriented design and design patterns Strong fundamentals in algorithms, data structures, predictive modeling and big data concepts
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