Cloud Infrastructure Engineer

About the Project

We are seeking an experienced and proactive DevOps Engineer to build and manage the infrastructure for "A Stealth Proptech Startup," a groundbreaking digital real estate platform in Dubai. This is a complex initiative to build a comprehensive ecosystem integrating long-term sales, short-term stays, and advanced technologies including AI / ML, data analytics, Web3 / blockchain, and conversational AI. You will be responsible for creating a scalable, reliable, and secure foundation upon which all our applications and services will run.

This is a foundational engineering role in a high-impact project, offering the chance to implement best-in-class infrastructure and automation practices from the ground up.

Job Summary

As a DevOps Engineer, you will be responsible for the design, implementation, and management of the entire infrastructure, deployment pipelines, and operational monitoring for the Property Search platform. You will work to automate every step of the software development lifecycle, enabling our development teams to build and release software quickly and reliably. You will collaborate closely with backend, frontend, mobile, and AI / ML engineers to ensure the platform is secure, scalable, and highly available.

Key Responsibilities

• Design, build, and manage the cloud infrastructure on a major cloud platform (AWS, Google Cloud, or Azure), using Infrastructure as Code (IaC) principles.
• Develop and maintain robust CI / CD pipelines for all applications (backend, frontend, mobile) to automate testing and deployment.
• Implement and manage containerization and orchestration solutions using Docker and Kubernetes.
• Establish and manage comprehensive monitoring, logging, and alerting systems to ensure platform health and performance.
• Implement and enforce security best practices throughout the infrastructure and deployment lifecycle (DevSecOps), including network security, secret management, and access control.
• Manage multiple environments (Development, Staging, Production), ensuring consistency and reliability across them.
• Collaborate with the AI / ML team to build and support the infrastructure required for training and deploying machine learning models (MLOps).
• Work with development teams to troubleshoot and resolve infrastructure-related issues.
• Automate operational tasks and processes to improve efficiency and reduce manual effort.

Required Skills and Experience

Preferred Qualifications