We are looking for a Sr level Mid-Tier Developer to be a part of our Data Mining and Machine Learning Java Services Team. This is an agile team of motivated developers, with wide responsibility and high-profile feature ownership working primarily in Java, developing SAS products and solutions for delivery to customers.
This position provides the opportunity to develop new services that power the next generation of Analytic Solutions for Data Mining and Machine Learning. You’ll be designing and developing innovative applications that employ a combination of microservices and serve data over cleanly-designed RESTful HTTP endpoints.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
SAS looks not only for the right skills, but also for a cultural fit. We seek colleagues who will contribute to the unique culture that makes SAS such a great place to work. We look for the total candidate: technical skills, culture fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.