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Cloud Engineer (Microsoft Azure & Google Cloud Platform

Job in Kuwait City, Kuwait
Listing for: Unicorn Lab
Full Time position
Listed on 2026-08-19
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Azure, SRE/Site Reliability, Systems Engineer
Salary/Wage Range or Industry Benchmark: 18000 - 28000 KWD Yearly KWD 18000.00 28000.00 YEAR
Job Description & How to Apply Below
Position: Cloud Engineer (Microsoft Azure & Google Cloud Platform)

About the Role

We are looking for a motivated Cloud Engineer with 2–3 years of hands‑on experience in Microsoft Azure and Google Cloud Platform (GCP). The ideal candidate should have strong cloud infrastructure, networking, Kubernetes, Infrastructure-as-Code, API Management, Dev Ops, and cloud security skills.

You will be responsible for designing, deploying, securing, automating, and supporting enterprise-scale cloud infrastructure while working closely with software engineering, Dev Ops, cybersecurity, and solution architecture teams.

This role requires someone who enjoys automation, troubleshooting, continuous learning, and building scalable cloud platforms.

Key Responsibilities Cloud Infrastructure
  • Design, deploy, and maintain cloud environments on Microsoft Azure and Google Cloud Platform.
  • Provision and manage virtual machines, storage, networking, databases, and managed cloud services.
  • Perform infrastructure sizing, capacity planning, resource optimization, and cost optimization.
  • Design highly available and scalable cloud architectures.
  • Manage subscriptions, projects, resource groups, virtual networks, and identity services.
  • Support disaster recovery and backup strategies.
Networking
  • Configure and manage:
  • Virtual Networks (VNet)
  • Subnets
  • NSGs
  • Route Tables
  • VPN Gateways
  • Express Route
  • Cloud VPN
  • Load Balancers
  • Application Gateway
  • Azure Firewall
  • DNS
  • Private Endpoints
  • Troubleshoot connectivity and network performance issues.
  • Implement secure hybrid connectivity.
Kubernetes & Containers
  • Deploy and manage Kubernetes clusters.
  • Azure Kubernetes Service (AKS)
  • Google Kubernetes Engine (GKE)
  • Containerize applications using Docker.
  • Configure ingress controllers.
  • Implement autoscaling.
  • Perform cluster monitoring and upgrades.
  • Troubleshoot production Kubernetes environments.
API Management

Experience with one or more:

  • Azure API Management (APIM)
  • Google Apigee

Responsibilities include:

  • API publishing
  • Security policies
  • Rate limiting
  • OAuth/JWT
  • API monitoring
  • Developer portals
  • Versioning
  • API lifecycle management
Dev Ops & Automation

Build and maintain CI/CD pipelines using tools such as:

  • Azure Dev Ops
  • Git Hub Actions
  • Git Lab CI/CD

Automate:

  • Infrastructure deployment
  • Application deployment
  • Environment provisioning
  • Configuration management

Manage:

  • Release pipelines
  • Branching strategies
  • Build automation
  • Deployment approvals
Infrastructure as Code

Develop reusable cloud infrastructure using:

  • Terraform
  • ARM Templates
  • Bicep (preferred)
  • YAML

Automate infrastructure provisioning across environments.

Security

Implement cloud security best practices including:

  • Microsoft Defender for Cloud
  • Microsoft Sentinel
  • Azure Security Center
  • IAM
  • RBAC
  • Managed Identities
  • Key Vault
  • Secrets Management

Work with Security Operations Center (SOC) teams to investigate alerts and strengthen cloud security posture.

Monitoring & Operations

Support cloud operations through:

  • Azure Monitor
  • Log Analytics
  • Application Insights
  • Google Cloud Operations Suite
  • Microsoft Sentinel
  • SOC monitoring
  • NOC support
  • Incident management
  • Root cause analysis
  • Performance tuning
AI & Modern Cloud Services

Exposure to modern AI services including:

  • Azure AI Foundry
  • Azure OpenAI
  • Google Gemini
  • Vertex AI (preferred)

Support AI application deployment and infrastructure.

Collaboration
  • Work with Solution Architects.
  • Support development teams.
  • Participate in infrastructure reviews.
  • Assist during production releases.
  • Prepare technical documentation.
  • Participate in on‑call production support when required.
Required Skills Microsoft Azure
  • Azure Virtual Machines
  • Azure Networking
  • Azure Storage
  • Azure Kubernetes Service (AKS)
  • Azure API Management
  • Azure Monitor
  • Azure Load Balancer
  • Application Gateway
  • Azure Firewall
  • Azure DNS
  • Azure Key Vault
  • Azure Entra
  • Azure Dev Ops
  • Microsoft Sentinel
  • Azure AI Foundry
Google Cloud Platform
  • Compute Engine
  • Google Kubernetes Engine (GKE)
  • Cloud Networking
  • Cloud Load Balancing
  • Cloud Storage
  • Apigee
  • IAM
  • Cloud Logging
  • Cloud Monitoring
  • Vertex AI (preferred)
  • Gemini
Infrastructure
  • Linux Administration
  • Windows Server
  • Docker
  • Kubernetes
  • Terraform
  • Bicep
  • ARM Templates
  • Infrastructure as Code
Dev Ops
  • Git
  • Git Hub
  • Azure Dev Ops
  • Git Hub Actions
  • CI/CD
  • YAML Pipelines
Networking
  • TCP/IP
  • DNS
  • VPN
  • Firewalls
  • Routing
  • Load Balancers
  • Reverse Proxy
  • SSL Certificates
  • HTTPS
  • Hybrid Networking
Security
  • IAM
  • RBAC
  • Zero Trust
  • Key Vault
  • Secrets…
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