Be a part of the digital transformation revolution! The Internet of Things (IoT) is changing the business landscape and Microsoft has emerged as a leading innovator in this field. The Azure IoT team is building the Microsoft IoT platform which will support a commanding share of the 50 billion IoT devices predicted to be online by the end of this decade. You will be working in the Azure IoT Platform team that builds and runs Azure IoT Analytics service, also known as Azure Time Series Insights. This service is responsible for providing near-real time interactive analytics over data streaming from millions of IoT devices and other sources via IoT Hub and Event Hub. Our customers are using Time Series Insights for continuous monitoring, maintaining and optimizing their IoT assets as well as building applications on top of our APIs. Our engineering is focused on enabling high-scale data ingestion into hot, warm and cold storage and providing rich analytics and query capabilities backed by time
Join us in helping drive our mission to offer the most scalable, powerful, and secure IoT platform empowering businesses ranging from startups to Fortune 100 enterprises to achieve their goals. You will be an important part of a team of highly motivated and talented individuals and this is a great opportunity to challenge yourself, grow your career and influence the next generation of distributed systems platform for Microsoft. Successful candidates should have a strong grasp of computer science fundamentals, sharp technical design skills, and a healthy appetite for tackling hard, ambiguous problems
Required Qualifications 6+ years of experience in backend software development Preferred Qualifications Solid knowledge of data-structures, algorithms and object-oriented design patterns Understanding of distributed state management Bachelor's degree in Computer Science or equivalent industry experience Experience writing and debugging asynchronous and multi-threaded code Strong technical aptitude coupled with a demonstrated ability to adapt to and learn new technologies. Demonstrated excellence in verbal and written communication Master's degree in Computer Science or equivalent industry experience