Lawrence Berkeley National Laboratory

Walnut Creek, CA | Posted: 5 years ago

Systems Infrastructure Lead - 86184 Organization: JG-Joint Genome Institute

The Department of Energy’s (DOE) Joint Genome Institute (JGI) Division at Lawrence Berkeley Lab (LBNL) has an exciting opportunity for a talented systems architect to help build our high-performance hardware and software infrastructure. The Systems Infrastructure Lead will report to the Chief Informatics Officer at the JGI and will be part of the Data Science and Informatics Department. As a DOE User Facility, the JGI’s mission is to support, enable, and amplify the scientific output of the environmental genomics community. As the demand for sequencing and *omics data has increased, the complexity of the infrastructure needed to support this effort has increased. The JGI relies on high-performance computing systems managed by the National Energy Research Scientific Computing (NERSC) facility, as well as user and data management systems run in Berkeley Lab’s IT Division.   The Systems Infrastructure Lead will be responsible for ensuring high availability of the hardware that supports mission-critical systems, collaborating with JGI’s partners at Berkeley Lab, and for architecting a strategy for infrastructure that can support JGI’s growth over the next 5-10 years. This role will be a unique blend of hands-on technical work and strategic planning for an incredibly dynamic workload. This position also analyzes the characteristics of JGI application codes and their usage on HPC/IT systems and collaborates with NERSC/IT to monitor system utilization. He/she is responsible for managing user data collected JGI compute and data systems, as well as assisting with operational and system-level data.   This DOE JGI is currently located at a facility in Walnut Creek, CA, but will move to the main LBNL Campus in Berkeley, CA in July 2019.   

How To Apply Apply directly online at http://50.73.55.13/counter.php?id=152948 and follow the on-line instructions to complete the application process.