If the idea of developing rich data insights and building highly scalable services for our largest distributed platforms on Azure gets you excited, then this opportunity to build a world class set of services on Azure's Data Platform is the right place for you to come and take on your next challenge. Our team is working on building new platform capabilities for Data Cataloging and Data Sharing across the Azure stack. Our customer's requirements push us to process petabytes of data without breaking a sweat. The amount of exhaust from a platform with that scale of processing is enormous, and the insights and scenarios that we want to enable on top of that raw data are endless. For our customers to maintain control and compliance over their data, we are making a big bet on building platform features that enable compliant Asset Management, complete with Discovery, Classification, and Data Lineage tracking, to allow for better data-driven decisions to be made by the enterprises that stake their
We are looking for talented Engineers, who have strong track record of success and background in large scale distributed systems. Everyone on the team owns significant areas and directly contributes to the vision, direction, implementation, and ultimately the success of our products. You will collaborate on and negotiate your designs across our partner engineering teams and work closely with our PMs to design, build, and maintain an extensible set of features that will lay the foundation for our customers.
Basic Qualifications: Bachelor's degree in Computer Science or Engineering or Mathematics or Physics or IT technical discipline or in place of 3+ years of internship or 5+ years of industry software engineering experience 5+ years of programming experience in Java OR C++ OR C# OR C OR object-oriented programming Preferred Qualifications: Experience building and shipping production grade software or services. Experience building and operating online services and fault-tolerant distributed systems. Experience creating and shipping V1 products using modern development practices. Experience using agile