Sort by
Refine Your Search
-
collaboration skills Desired Qualifications* Experience supervising DevOps teams Experience with Azure Cloud computing Experience with AI integration and security Why Work at Michigan? Benefits at the University
-
for our multidisciplinary research focusing on transportation safety and mobility (http://umtri.umich.edu ). Established in 1965, we maintain the highest standards of excellence as we conduct research
-
approaches, that may include flat-file extracts, Enterprise Service Buses (ESB), ODBC APIs, Restful APIs, Cloud services. Enterprise Data & Information Systems The HITS Enterprise Data & Information Services
-
, DevOps methodologies, and cloud technologies. This role requires the ability to learn fast and share your knowledge in a collaborative way to reach optimal outcomes. Your contributions in this role will be
-
for translating business needs into technical solutions, leading efforts to adopt emerging AI-enabled platforms, and ensuring robust deployment to cloud infrastructure. You'll mentor team members, foster a culture
-
/CD) practices. Perform system administration tasks within AWS cloud infrastructure. Testing JUnit, integration, Behavioral testing automation. Learn scope of the testing model for full understanding
-
systems. Our work spans Michigan Online infrastructure, AV systems design, IT support, media asset management, cloud storage, cybersecurity, and disaster recovery planning. We collaborate closely with
-
in the position and outline skills and experience that directly relate to this position. Job Summary The MS Azure Cloud Engineer is responsible for the design, implementation, support, and optimization
-
for Political and Social Research (ICPSR) has an exciting opportunity to employ a Research Cloud Solutions Designer. This position will report to the Research Computing Manager within ARC and will be responsible
-
warehousing solutions that integrate diverse systems and enable actionable metrics, reporting, and AI/ML use cases. Design and build scalable, resilient, and maintainable data architectures across cloud