A Cloud System Engineer in the CernerWorks Emerging Technology Services organization is responsible for operating Cerner’s cloud-based systems with the primary objectives of client satisfaction, incident free operations, and system uptime. Cloud System Engineers support daily operations of the core components that together make up the foundation on which Cerner’s cloud-based platforms run.
Key areas of responsibility:
• Test, implement, manage, and maintain business critical big data platforms
• Deploy software and services relating to Cerner’s big data platforms
• Proactively maintain, monitor, and manage the servers and services that make up our platforms
• Create and maintain comprehensive documentation for supported platforms
• Participate in development of business continuity and disaster recovery plans, process, and procedures
* Test, implement, manage, and maintain business critical big data platforms
* Deploy hardware, software and services relating to Cerner’s big data platforms
* Proactively maintain, monitor, and manage the servers and services that make up our platforms
* Create and maintain comprehensive documentation for supported platforms
* Participate in development and maintenance of business continuity and disaster recovery plans, process, and procedures
• Experience working within the constraints of change management
• Hands-on experience with an open source configuration management automation platform Chef.
• Familiarity with big data platforms and/or with large-scale distributed systems concepts
• Familiarity with monitoring platforms like Zabbix.
• Familiarity with a log aggregation and analysis platform like Splunk.
- Resolved issues and escalated problems with knowledgeable support and quality service.
- Worked with stakeholders to determine implementation and integration of system-oriented projects.
- Analyzed security logs to determine and alleviate network threats.
- Compiled, processed, and analyzed test data and results to improve product quality.
- Compiled data and generated graphs to interpret results and suggest key operational improvements.
- Spearheaded compliance efforts and developed best practices to drive continual process improvements.