Job description / Role
Work for a startup company with world class AI and Cloud Computing capabilities and infrastructure.
We are searching for a Big Data Systems who has moved into a Cloud Systems engineer function to join a growing team of specialists in Big Data and Cloud platforms.
You will be responsible for the operational support, maintenance and expansion of our private cloud platform with a focus on Big data services (BDaaS). The Cloud infrastructure development group ensures maximum uptime of our private cloud platform. You will also act as a part of the escalation, issue triage and technical support processes.
• Knowledge and experience of some of the BigData related technologies: Hadoop, HBase, Spark, Hive, MapReduce, ElasticSearch, Flink and Kafka
• Expert level experience with server-level operating systems Unix/Linux, facilitating high-level engineering, architecture design
• Understanding of network and distributed storage systems such as, CEPH, EMC ECS, HDFS and protocols like FC, iSCSI, NFS, CIFS (concepts and architecture)
• You are knowledgeable of networks, routers, switches, firewalls and deep understanding TCP/IP stack
• Strong developments experience with shell, Python etc.
• Knowledge and experience of OpenStack production design, operations and troubleshooting would be beneficial
• 5 years of experience as a Big Data Engineer
About the Company
The TechStream Group is an award winning, multi brand, talent investor & incubator. Each of our brands focus on unique technology "streams" that are disrupting & transforming the world around us.
Each of our brands are unique to the technology market they operate within, whilst being interconnected by our "Stream" branding sequence.
We follow a proven global operating model that utilizes cloud infrastructure, artificial intelligence & analytics, all supported by a shared service & innovation centre in South Africa. Our Board of Directors and Senior Management team are passionate about talent & technology and strive to deliver real client value from every brand across the full technology stack.
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