In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, our client is a key enabler in leveraging this resource, as it is among the first Saudi companies dedicated to offering market-leading Data Science and AI products and solutions. Our client empowers aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.
As Head of DevOps, you will be responsible for leading the development and implementation of automated, efficient, and high-performance delivery systems for a large organization. They will have extensive experience in both development and operations, as well as full-stack expertise.
Job ResponsibilitiesProvide cloud-based continuous delivery solutions and have experience with the core cloud provider management tools.
Design and implement Continuous Integration tools like Jenkins, GitHub connections, Azure DevOps, Git-lab, and others.
Use configuration management automation tools like Azure DevOps to build continuous delivery systems.
Experience deploying and maintaining high-performance production environments using techniques like vertical, horizontal scaling, implementing caching systems, and database clustering.
Manage database clusters, log stacks, etc. ELK and experience configuring and managing services on Docker Containers, Kubernetes, or Docker Swarm.
Use industry Continuous Delivery patterns and collaborate to achieve successful continuous delivery solutions.
Coach and mentor team members, clearly explaining complex solutions and leading and teaching junior staff.
Manage DataOps, ensuring efficient and reliable data pipelines and data governance practices are in place.
Lead the management and maintenance of SaaS platforms, ensuring high availability and performance of the systems.
Collaborate with cross-functional teams to define and implement data architecture, data pipeline, and data governance strategies.
Continuously monitor and optimize the performance of SaaS platforms and implement necessary changes for scalability and reliability.
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