Co-op Student Systems Engineering
LLE seeks self-motivated co-op student Linux systems administrator(s) with a strong interest in cybersecurity and machine learning with an eye towards big data techniques. In this position, the candidate will:
securely deploy the open source ELK stack (Elasticsearch, Kibana / OpenSearch Dashboards, Beats, and Logstash) using dev ops techniques
build tools and configurations to allow authorized users access to specific log data
build tools and configurations to allow security and systems researchers to receive sanitized and anonymized logs in near real-time
All majors are welcome, but applicants must be comfortable:
with data extraction, transformation, and loading concepts and practices
using Linux from the command line without GUIs
with basic TCP/IP networking concepts
writing scripts in bash or Python
presenting issues to peers and managers
using git, gitlab, and other development and collaborative tools
interacting with vendors and users
working with a team
Applicants should be eligible to obtain a security clearance.
The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University’s mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled
Pay Range: $ 15.00 - $ 25.96 Hourly
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Location: Laser Lab & COI
Full/Part Time: TAR
Opening: Time as Reported Grade 074
Schedule: 8:30 AM-5:30 PM