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Cloud Engineer

DeepLight is a high-growth AI consultancy building scalable, secure systems for enterprises across the Middle East, delivering end-to-end GenAI solutions.
Abu Dhabi - United Arab Emirates
Cloud
Mid-Level Software Engineer
Hybrid
4+ years of experience
AI · Enterprise SaaS

Description For Cloud Engineer

DeepLight is a dynamic AI consultancy that's revolutionizing enterprise solutions across the Middle East, working with prestigious clients including banks, insurers, and governments. As a Cloud Engineer, you'll be at the forefront of shaping the cloud foundations for the GenAI era, working within our core engineering team to design and maintain mission-critical AI infrastructure.

Your role will involve collaborating closely with AI researchers, backend engineers, and DevOps teams to create robust, scalable, and secure environments primarily using AWS, Terraform, and Kubernetes. You'll be working in fast-moving, cross-functional pods that are central to client delivery, not relegated to background operations. Your expertise will directly impact how GenAI systems are implemented and maintained in production environments.

The position requires 4-6 years of hands-on experience with major cloud platforms and a strong foundation in Infrastructure as Code. You'll need expertise in container orchestration, CI/CD practices, and monitoring tools. What sets this opportunity apart is the chance to work specifically with AI/ML workloads, combining traditional cloud engineering with cutting-edge AI technology.

The benefits package is comprehensive, including competitive compensation, health coverage, and professional development support. You'll have opportunities for international exposure and flexible working arrangements. This role offers a unique chance to shape the future of AI implementation while advancing your career in a rapidly growing company at the intersection of cloud and artificial intelligence.

Last updated 16 days ago

Requirements For Cloud Engineer

Kubernetes
Python
  • 4–6 years of experience in cloud engineering, with hands-on work in AWS, Azure
  • Strong command of Infrastructure as Code tools (Terraform, Pulumi)
  • Experience managing Docker containers and orchestrating with Kubernetes
  • Ability to design scalable, highly available, and secure systems
  • Familiarity with CI/CD tooling (e.g., GitHub Actions, Jenkins, or GitLab CI)
  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK)
  • Strong communication skills and experience working with cross-functional teams
  • Exposure to serverless architecture (AWS Lambda, Azure Functions)
  • Experience with AI/ML workloads or data-heavy systems
  • Cloud certifications (e.g., AWS Certified Solutions Architect or equivalent)
  • Python or Bash scripting for automation

Benefits For Cloud Engineer

Medical Insurance
  • Competitive salary and performance bonuses
  • Comprehensive health insurance
  • Professional development and certification support
  • Opportunity to work on cutting-edge AI projects
  • International exposure and travel opportunities
  • Flexible working arrangements
  • Career advancement opportunities in a rapidly growing AI company

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