
Customer Operations Engineer
Our Customer Operations Engineers are trained to be active listeners and demonstrate empathy when customers encounter product issues. Participate in the queue management and coordination process by owning customer escalations, managing the unassigned queue and assigning cases to COEs. Be involved with and work on other support related activities. Triage, diagnose and escalate customer inquiries when applicable during their engineering and operations efforts. Investigate product related issues both for particular customers and for common trends that may arise. Study and understand critical system components and large cluster operations. Differentiate between issues that arise in operations, user code, third party libraries or product. Coordinate enhancement and feature requests with product management and Cloudera engineering. Participate in occasional weekend on-call roster for critical support needs.
Experience with a highly-scalable, distributed, multi-node environment (10+ nodes)
Experience with database (Preferable SQL)
Familiarity with virtual machine technologies
Working knowledge of distributed file systems (development knowledge is a strong plus)
Sql
Python
Java
C++
DNS
TCP/IP
Load Balancing
Troubleshooting skills
Time Management Skills
Red Hat Linux
Shell scripting skills
Verbal communication
written communication
Problem-Solving
Flexibility/Adaptability
Detail Oriented and Organized
Multi-tasking
Driven for excellence
According to JobzMall, the average salary range for a Customer Operations Engineer in 5470 Great America Pkwy, Santa Clara, CA 95054, USA is $60,000 to $100,000 per year. The salary range will depend on the company, the size of the team, and the experience of the individual. Factors such as location, market demand, and the level of job responsibilities will also affect the salary range.
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Cloudera, Inc. is a US-based software company that provides a software platform for data engineering, data warehousing, machine learning and analytics that runs in the cloud or on premises.

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