-
and projects, often on a number of parallel and competing tasks. Work with discretion to decide on the timing of operations within the work team’s agreed plan and plan ahead to meet experimental and/or
-
. Experience in deploying and operating container-based applications in a Linux environment. Experience in developing and supporting distributed, parallel data processing software running in Cloud or High
Enter an email to receive alerts for parallel-"Boston-University" positions