Creatively leveraging technology to re-invent traditional processes to increase Microsoft's operational efficiency and is key to the successful execution of both our current and future business strategies. This role will be part of a team that has the charter to drive digital transformation in Microsoft Business Operations. The Microsoft Business Operations Engineering team is looking for an exceptionally talented full-stack developer to drive a strategic internal program to improve cost and process efficiencies across our organization. A successful candidate in this role will possess analytical and conceptual skills and the ability to plan for end-to-end scenarios, lead sprints, read/write code and drive integrations with other engineering teams. Successful candidates must have a track record of showing up in a variety of technical and business situations with an inquisitive, can-do mindset and the ability to break through barriers, challenge the status quo, and build connections across
Our environment will require you to be inquisitive and highly motivated to re-imagine Operational processes and leverage technology to increase our accuracy, speed and cost efficiency of our core processes to we use to run the Microsoft business. • Develop secure, compliant and efficient process automations. • Integrate COTS software with custom applications and services • Drive process discovery and resolution of technical blockers; generate ideas, and identify / solve problems • Inspire others to be bold and challenge traditions so as to deliver meaningful impacts for developers • Work effectively
Basic Qualifications: • Bachelors in Computer Science or a related field plus 7+ years of experience • Fluency and experience in an object-oriented language (C#, Java, C++ etc...) • Recent experience with cloud technologies and experience in helping architect or design modern services Preferred Qualifications: • MS Degree in Computer Science • Exposure to Business Intelligence concepts (ETL, Dimensional Modeling, Reporting technologies) • Experience using and applying object-oriented patterns • Experience with relational databases and noSQL databases • Hadoop, Data Lake, Cosmos or other big data