Rackspace Technology Logo

Cloud & DevOps Engineer

🇪🇬 Egypt - Remote
🔧 DevOps🔵 Mid-level

Job Description

We are seeking a Mid-to-Senior Cloud & DevOps Engineer to own and evolve our cloud infrastructure and automation strategy. Candidates must be currently residing in Egypt and possess valid local work authorization. This role is ideal for a hands-on engineer who is passionate about building resilient AWS environments, optimizing CI/CD workflows, and integrating AI-driven efficiencies into modern operations.

What you will be doing

  • Cloud Infrastructure: Deploy and maintain highly available AWS environments (EC2, ECS, EKS) using Terraform to ensure infrastructure is versioned and reproducible.
  • CI/CD & Automation: Build and manage automated pipelines in GitLab CI or Jenkins, and use Ansible to eliminate manual configuration and drift.
  • Container Orchestration: Manage the full lifecycle of containerized applications using Docker and Kubernetes.
  • Hybrid Systems: Perform administration and automated deployments across Linux and Windows environments using Python or Bash.
  • Networking & Connectivity: Design, secure, and troubleshoot cloud networking components including VPCs, Subnets, Route53, and Load Balancers.
  • AI Integration: Implement and support infrastructure for AI/ML workloads and utilize AI-powered tools to enhance system monitoring and automated incident response.

Required Qualifications

  • Experience: 4–6 years in Cloud and DevOps Engineering roles.
  • Cloud Platform: Hands-on expertise with AWS (specifically EKS, EC2, RDS, S3, and Secrets Manager).
  • Infrastructure as Code: Proven ability to manage production stacks using Terraform.
  • Networking Fundamentals: Deep understanding of VPC peering, DNS, Load Balancing, and network security protocols.
  • Containers: Proficiency in Docker and Kubernetes (running and troubleshooting clusters).CI/CD & Config: Solid experience with GitLab CI / Jenkins and Ansible.
  • AI Exposure: Practical experience or strong knowledge in supporting AI infrastructure (e.g., GPU instances, model deployment pipelines) or using AI tools to improve productivity.

Nice to Have

  • Kubernetes Ecosystem: Working with Helm or Kustomize for manifest management.
  • Security: Solid understanding of AWS IAM, security groups, and encryption at rest/transit.
  • Observability: Hands-on experience with Datadog, Prometheus, or Grafana.
  • Enterprise Logging: Familiarity with SignalFX or Splunk is a plus.
  • Certifications: AWS Certified Solutions Architect or CKA (Certified Kubernetes Administrator).

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About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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