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Cloud Engineer Egypt Jobs

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Cloud & DevOps Engineer
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Join our team as a Cloud & DevOps Engineer in Giza. You will own our AWS infrastructure, using Terraform, Kubernetes, and GitLab CI to build resilient systems. This role involves supporting AI workloads and requires 4-6 years of hands-on experience with the full AWS stack. Ideal candidates are ba...
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Egypt , Giza
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Not provided
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Rackspace
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Until further notice
Senior Cloud Engineer
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Seeking a Senior Cloud Engineer in Egypt to design and implement robust Microsoft cloud infrastructure (Azure, IaaS/PaaS/SaaS). You will develop fault-tolerant systems, execute POCs, and integrate on-premise solutions. Requires 3-5 years' experience with Microsoft Infrastructure, System Center, a...
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Egypt
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Dakahlia Group
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Until further notice
Hybrid Cloud Engineer
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Join our team as a Hybrid Cloud Engineer in Cairo. You will integrate VMware and Windows Server infrastructure with Azure, focusing on automation and disaster recovery. Key skills include vSphere, PowerShell, and Azure Arc. Support and optimize our critical hybrid cloud environment.
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Egypt , Cairo
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Not provided
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Coca-Cola HBC
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Until further notice
Embark on a high-demand career path by exploring Cloud Engineer jobs, a pivotal role at the heart of modern digital transformation. Cloud Engineers are the master architects and builders of the virtual infrastructure that powers today's businesses, from streaming services and e-commerce platforms to financial systems and AI applications. This profession involves designing, implementing, and managing an organization's cloud computing strategy, primarily leveraging public cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The core objective is to create scalable, resilient, and cost-efficient systems that enable innovation and operational agility. A Cloud Engineer's typical responsibilities are diverse and multifaceted. They are primarily responsible for architecting and deploying cloud infrastructure, which includes virtual networks, storage accounts, and computing resources. A significant part of their day-to-day work involves leveraging Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation to automate the provisioning and management of resources, ensuring consistency and repeatability. They also design for security and compliance, implementing identity and access management policies, encryption, and network security controls to protect sensitive data. Furthermore, Cloud Engineers are instrumental in ensuring system reliability and performance. They set up monitoring, logging, and alerting systems to gain observability into the health of applications and infrastructure, often using tools like Prometheus or cloud-native services. They also manage containerized applications using Docker and orchestration platforms like Kubernetes, enabling seamless deployment and scaling. Collaboration is key, as they frequently work alongside development teams to foster DevOps practices, building and maintaining continuous integration and continuous deployment (CI/CD) pipelines. To succeed in Cloud Engineer jobs, a specific skill set is required. Foundational knowledge of at least one major cloud provider is essential, including understanding their core services for compute, storage, networking, and databases. Proficiency in scripting languages like Python, PowerShell, or Go is crucial for automation tasks. A strong grasp of networking fundamentals, including TCP/IP, DNS, and firewalls, is non-negotiable. Equally important are soft skills such as problem-solving, analytical thinking, and clear communication, as engineers must diagnose complex issues and explain technical concepts to non-technical stakeholders. While a bachelor's degree in computer science or a related field is common, many professionals enter the field with relevant certifications and hands-on experience. As businesses continue to migrate to and innovate within the cloud, the demand for skilled Cloud Engineers remains robust, offering a dynamic and rewarding career with opportunities for continuous learning and specialization in areas like security, data engineering, or machine learning.

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