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Platform Engineer

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Onsite

Platform Engineer

EGYBELL international

Platform Engineer

Skills

Google Cloud PlatformDockerPythonGolangJavaDevOpsMicroservicesGitLabGrafanaAWSAnsiblePrometheusLinuxKubernetesTerraformAzure

1 month ago

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Important information


Location:

Cairo, Cairo Governorate, Egypt

Work mode:

Onsite

Published on:

10 October 2026

What they need


Responsibilities: Developing the company s next-gen public / private, portable cloud platform PaaS Designing, developing and deploying business software at scale Deploying and maintaining solutions in various infrastructure environments Verify technical feasibility and validate solution options for the requirements Align with product and development teams on providing training, knowledge transfer and subject matter expertise. Translate the company s business requirements into systems design, including high-availability and disaster recovery.

Excellent communication skills, both written and oral with the ability to adjust the messaging based on the audience Requirements: Experience with Kubernetes and Docker (Using & Administration, including deployment of Kubernetes or K3S) Developing and maintaining Helm Charts and Dockerfiles from open Deploying solutions in different environments (OpenStack, Proxmox, Bare Metal) Experience with GitOps approach and ArgoCD/FluxCD Software development knowledge of at least one of these programming languages: Python, Bash (Go, Java can be an advantage) Strong Linux Administrator skills. (Managing network configuration, users, permissions, debugging various issues) Experience with Infrastructure as Code tools like Terraform/Ansible CI/CD environment creation and maintenance using Atlassian Bamboo/Azure Devops/Gitlab Actions Developing tests in a TDD approach Behave testing framework

Qualifications Bachelor s degree in Computer Science, Engineering, or a related field 5+ years of experience as a Platform Engineer. Excellent in English Experience in influencing application modernization and migration to cloud platforms. Worked with cloud providers: AWS, Azure, GCP Broad knowledge in systems logging, monitoring and telemetry (ELK, Grafana, Prometheus etc.) Knowledge of DevSecOps concepts and tools X-Ray (Artifactory), Trivy, CIS, Nessus, Sealed Secrets, SOPS, OWASP, Renovate Familiarity with GenAI tools, working and extending (Claude Code skills etc.) Experience documenting microservice-based system architectures via modeling diagrams and effectively transitioning those architectures to implementation teams Kindly send your CV on EMAIL_ADDRESS Required skills

Desired Candidate Profile

  • Experience with Kubernetes and Docker (Using & Administration, including deployment of Kubernetes or K3S)
  • Developing and maintaining Helm Charts and Dockerfiles from open
  • Deploying solutions in different environments (OpenStack, Proxmox, Bare Metal)
  • Experience with GitOps approach and ArgoCD/FluxCD
  • Software development knowledge of at least one of these programming languages: Python, Bash (Go, Java can be an advantage)
  • Strong Linux Administrator skills. (Managing network configuration, users, permissions, debugging various issues)
  • Experience with Infrastructure as Code tools like Terraform/Ansible
  • CI/CD environment creation and maintenance using Atlassian Bamboo/Azure Devops/Gitlab Actions
  • Developing tests in a TDD approach
  • Behave testing framework
  • Bachelor s degree in Computer Science, Engineering, or a related field
  • 5+ years of experience as a Platform Engineer.
  • Excellent in English
  • Experience in influencing application modernization and migration to cloud platforms.
  • Worked with cloud providers: AWS, Azure, GCP
  • Broad knowledge in systems logging, monitoring and telemetry (ELK, Grafana, Prometheus etc.)
  • Knowledge of DevSecOps concepts and tools X-Ray (Artifactory), Trivy, CIS, Nessus, Sealed Secrets, SOPS, OWASP, Renovate
  • Familiarity with GenAI tools, working and extending (Claude Code skills etc.)
  • Experience documenting microservice-based system architectures via modeling diagrams and effectively transitioning those architectures to implementation teams

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