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About the Role
Own backend systems and other infrastructure components necessary to deploy and run databases at scale
Write code for production automation to help manage complex database deployments
Develop and maintain SLO measurement and accounting tools and processes
Develop capacity plans, debug production issues and work on improving performance and efficiency throughout the stack
Share an on-call rotation and be an escalation contact for database platform incidents
Basic Qualifications
Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, etc.).
Production experience in operating large scale storage deployments (for example MySQL, Kafka, Cassandra)
Experience coding with one of Go, C++, Java or Python
Preferred Qualifications
5+ years of experience in configuring and operating storage / database systems
Experience with workflow orchestration systems (Cadence, AWS SWF) is a big plus
Experience with MyRocks storage engine is a big plus
Experience in development / operating of control planes and orchestration platforms
Experience analyzing, monitoring, and troubleshooting large-scale, high-traffic distributed systems
Expertise with optimizing, and debugging Linux installations
Excellent written and verbal communication skills, including the ability to write detailed technical documents.
For Seattle, WA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .
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