FAS Research Computing offers a unique environment for its staff to explore new technology, engage with world-class researchers and students, and work in a unique, exciting, cutting-edge Research/HPC environment. Faculty of Arts and Sciences RC provides not only high-performance computing and research support, but also training, engagement, continued learning, and special projects.
FASRC seeks a diverse team of highly-motivated and engaged personnel to make our mission a success and make our team a pleasure to work within. Come join us and enjoy the benefits of working for Harvard University in an exciting and ever-growing research computing group.
- Area Lead, Data Science & Research Facilitation (43601BR)
Harvard’s Research Computing is seeking an Area Lead for their new Data Science and Research Facilitation role. This position builds upon our previous successes in a collaborative National Science Foundation (NSF) award, which helped launch a new era in research computing by formalizing the Research Education Facilitation role. See https://aciref.org for more information. This position will help grow our concept of facilitation within Harvard and engage nationally with the growing ACI-REF community. Additionally, the position is key to building the support mechanisms needed to enable the new Data Science Initiative to grow and thrive (https://datascience.harvard.edu). This position will be responsible for “bridging the gap” between our world class researchers and our advanced cyber infrastructure resources. (MORE)
- Sr. Site Reliability Engineer (43633BR)
Harvard Research Computing is looking for a motivated, full-stack site-reliability engineer with experience in designing, configuring, and deploying advanced monitoring and alerting systems for mission-critical services.
This position will report to the Team Lead for Software/Cloud as Infrastructure, and will design monitoring and alerting solutions for a wide range of mission-critical services within FASRC’s infrastructure, as well as train technical staff on monitoring procedures and expectations for monitoring events. Applying best practices and providing recommendations to improve problem identification and response time is key to this position. A strong candidate will have a history of partnering with engineers, administrators, developers and project managers to plan and implement complex technical monitoring solutions and architecture. A successful engineer will work well under pressure, is able to take direction, and relies on their extensive experience and judgment to proactively implement and configure future monitoring solutions.
- Software Infrastructure Engineer (43464BR)
Reporting to the Team Lead for Cloud Computing, the successful candidate will develop and provide support for existing and future virtualization environments for Research Computing and associated systems including networked storage, high performance computing and advanced hypervisors. The successful candidate will also be intimately involved in managing and supporting hosted guest systems, services, and working directly with researchers for both physical and virtualized research computing systems. In addition the candidate will contribute to a collaborative design process for maintenance and upkeep of existing configuration management code and tools. (MORE)
- Research Computing Support Specialist (43634BR)
Harvard Research Computing in the Faculty of Arts in Sciences (FASRC) is looking for a motivatedtech-savvy individual to help provide daily support of researchers’ scientific computing needs.
This position will be an integral part of the Advanced Research Computing Support (ARCS) working group and report to the ARCS Team Lead. You will be working directly with world-class researchers from multiple Harvard colleges (FAS, SEAS, HCSPH, HBS, GSE) and disciplines to facilitate and troubleshoot their research workflows. In addition, you will support scientific software deployment and help in maintaining our end-user guides and training materials. This position will regularly be involved in system maintenance and work closely with the FASRC Infrastructure Teams to develop scalable solutions across our HPC, cloud, and storage infrastructure.