Senior DevOps Engineer

2 weeks ago


Riyadh, Ar Riyāḑ, Saudi Arabia Quant Data & Analytics Full time

Riyadh, Saudi Arabia | Posted on 11/15/2023

Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging

the vast array of data resources available in the fourth industrial revolution. We are deeply

committed to delivering exceptional Data Science and AI SaaS products and solutions, with a

specialized focus on the real estate sector through Suhail and the retail sector through

Fruits360. Our talented dream team possesses unique expertise, enabling us to achieve a track

record of marvels, from analyzing more than a trillion data records to serving hundreds of clients

across more than 10 industries. Our strategic international and local partnerships alongside our

expertise have positioned us as trailblazers in the global transition towards data-driven

Job Description

Job Role:

In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, Quant 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. At Quant, we empower aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.

As a Senior DevOps Engineer you will lead the development and implementation of automated, efficient, and high-performance systems for a large organization. You will utilize your extensive full-stack experience in both development and operations.


Key Responsibilities:


• Provide 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, Gitlab, and others.


• Use configuration management automation tools like Azure DevOps to build continuous delivery systems.


• Oversee and maintain all aspects of Azure DevOps processes, including CI/CD pipelines, infrastructure as code, and other cloud automation processes.


• Coordinate with development teams to ensure seamless deployments of applications to Azure cloud services.


• 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.


• Contribute to the management and maintenance of SaaS platforms, ensuring high availability and performance of the systems.


• Continuously monitor and optimize the performance of SaaS platforms and implement necessary changes for scalability and reliability.

Requirements

Qualifications:


• Advanced degree in computer science or a related field is preferred.


• Must have hands-on experience with Microsoft Azure (Azure certification is a plus).


• Possess 10+ years of experience in designing and managing large, complex software operations.


• Strong experience scripting installation, configuration, and provisioning using languages like Python, Java, C#, or other high-level languages.


• Proven experience with configuration management automation tools, Continuous Integration tools, and cloud-based delivery solutions.


• Strong understanding of high-performance production environments, caching systems, database clustering, and containerization technologies like Docker and Kubernetes.


• Strong experience in managing DataOps and SaaS platforms, with a solid understanding of data governance and data pipeline best practices.


• Excellent communication and leadership skills.

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