Chief Data Systems

21 hours ago


Pretoria, South Africa Ambassador Human Resource Solution Full time

A BSc Honours degree in Systems Engineering, Computer Science, Computer Systems or related qualification
A Masters degree in Systems Engineering, Computer Science, Computer Systems or related qualification will be an added adv
Solid background hands-on on designing and software development of large scale complex computer systems using any of the modern programming languages e.g. Java, C/C++, Python, Javascript
Successfully managed a software development team/s working on large and complex computer systems
10 years as a Senior Systems Engineer, Software Engineer or similar experience
+ 5 as head of technical systems team management position
Experience in agile methodology, DevOps and scrum will be an added advantage
Knowledge of managing a hybrid computing environment, i.e. mixture of on-premise and cloud resources.
They must have skills and knowledge of
Knowledge of modern system design architectures e.g. Containerization and Orchestration Kubernette's
Management of hybrid data center, managing a mixture of on-premise and cloud-based resources
understanding of Computer networks and Security
Hardware virtualization and clustering technologies
Storage systems short term and long term storage systems backup technologies
Systems hosting infrastructure and life-cycle management
Applications and intergration architectures
Knowledge of Cloud computing architectures and services Storage and Compute and preferably AWS
Experience leading a software development team
Preferably, having a solid software development background will be beneficial, using any of modern programming languages e.g Python, Java, Javascript, C/C++
Ability to lead a team of software developers and be hands-on when situation requires leading by example.
Responsibilities will include, but not limited to
Design and implement an Earth observation Data Systems Strategy
Design and manage a high-performance Earth observation Data Centre
Data management
Operationalization and performance of Data Systems
Risk management and compliance
People management.


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