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Senior DevOps Engineer

2 months ago

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

Job Role:

As a Senior DevOps Engineer at Quant Data & Analytics, you will play a key role in leading the development and implementation of automated, efficient, and high-performance systems for our organization. With your extensive full-stack experience in both development and operations, you will utilize your expertise to design and implement cloud-based continuous delivery solutions, leveraging your knowledge of cloud provider management tools, Continuous Integration tools, and configuration management automation tools.

Key Responsibilities:

  • Design and implement cloud-based continuous delivery solutions, utilizing your expertise in cloud provider management tools, Continuous Integration tools, and configuration management automation tools.
  • 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:

  • 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.