A software engineer in the Center for Data Intensive Science works with cloud computing infrastructure primarily based on OpenStack to develop, maintain, and evaluate software applications to meet business and technical requirements.
Works in Linux-based systems in Python with some C/C++ and Go and various web technologies.
Solves complex problems and performs at a high technical level in programming activities.
Executes code testing and ensures appropriate standards are met.
Provides production and user support.Serves as a liaison with internal and external collaborators on various research projects.
Documents project development and programming code.
Coding includes the full stack including systems orchestration, API development, algorithms and data structures, and user interfaces.
Projects span management, sharing, and provenance of large data sets; automation, metrics, and scheduling for cloud computing, large scale pipelining of next-generation sequence analysis, transfer programs/protocols for high-speed networks and resource visualization.
Ability to prioritize and manage workload to meet critical project milestones and deadlines required.
Attention to detail required.
Ability and willingness to acquire new programming languages, statistical and computational methods, and background in research area required.
Ability to work in a collaborative team environment required.
Education, Experience, and Certifications:
Bachelor's degree in computer science, mathematics, statistics, engineering, or a related field
Minimum two years of relevant programming experience
Experience using applications such as Python, C/C++, Java, or Ruby
Version control experience
High performance/ cloud computing experience preferred.
Unix/Linux programming or system administration experience preferred.
UX/UI experience preferred.
Git version control experience preferred.
Experience with genomics preferred.
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