Overview: Artificial Intelligence (AI) and Machine Learning (ML) is the next explosive growth area in technology relevant to every business in every industry on the planet.
The data economy is already booming, and by 2020 there will be a projected 35 zettabytes of data generated by 50 billion connected devices. From these mountains of data, AI and ML will harvest valuable predictive signals and patterns that will fundamentally transform the face of business. With our own already existing volumes of data and research assets, Microsoft is investing to be a key player and a market leader in this industry. The Business Application Group at Microsoft has the charter to bring the best of our AI & Research assets, tools and cloud infrastructure, business expertise, rich data, and trusted position together, to deliver AI and ML powered solutions to customers.
The mission of the Platform AI team within the Business Application Group's Biz 360 team is to enable and extend signals that enrich user data with insights which aim to inform business professionals to take actions based on what consumers say, seek, and feel about brands and products. To achieve this, we are building scalable products which leverage many other Azure technologies, including Data Lake Analytics and Data Factory pipelines, Cosmos and SQL databases, and C#/.Net microservices hosted on Azure App Services, Azure functions and Azure Kubernetes Services. We collaborate with and deliver rich APIs and ML models to our sister teams.
Bachelor's degree in CS, EE or equivalent.
8+ years of software design and development in distributed system and services APIs, large data processing architecture and knowledge of databases
4+ years experience with C#, Java, or other Object-Oriented Programming Languages
4+ years experience in large-scale data processing on Azure, or other leading Cloud Infrastructure
Will to be, or become a lead software engineer working on fast paced team with the latest tools and technology
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.
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.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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 Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
We are looking for a smart, highly motivated, and innovative Principal or highly-ranked Senior software engineering 'lead' to join at the ground floor of this well-resourced start-up effort. Day-to-day joining this team you can expect to lead a team of talented colleagues in building cutting-edge enterprise business solutions.
We seek experienced engineers who are passionate about building complete, production-quality software services, with a scalable and sustainable architecture and implementation, and incorporating high-performance over large data sets, all with low latency and high availability. We want a customer-focused engineering lead that's motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers to implement backend services, robust APIs, reliable data pipelines. You will lead your team's planning and execution and work closely with data scientists and data engineers to help deliver world-leading, data-defined business insights.