Cloud Platform Engineer
Riyadh
Job description
This position is listed on behalf of a partner company that manages all applications and next steps. The partner seeks a Cloud Platform Engineer based in Saudi Arabia. As a Cloud Platform Engineer, you will design, build, and operate scalable cloud infrastructure supporting AI applications, intelligent agents, and data products from prototype to production. You will join a central AI team supporting a major international logistics organization, delivering cloud‑native solutions across multiple countries. The role focuses primarily on Microsoft Azure with exposure to AWS to develop reliable infrastructure, deployment workflows, and observability frameworks that accelerate innovation. You will collaborate with AI engineers, data specialists, and international IT teams to create secure, automated, cost‑efficient cloud environments. Your work will streamline infrastructure provisioning, strengthen operational resilience, and enable large‑scale adoption of advanced AI‑driven solutions. This is a remote opportunity ideal for a technically strong engineer who enjoys platform automation, cloud architecture, and solving complex challenges in a collaborative, international setting.
Requirements
- Proven hands‑on experience developing, deploying, and operating cloud‑native applications and infrastructure, with strong expertise in Microsoft Azure and practical exposure to AWS
- solid experience with infrastructure as code (IaC), CI/CD pipelines, container technologies, cloud automation, monitoring, and logging solutions
- strong programming skills in Python and SQL, with familiarity with TypeScript considered an advantage
- understanding of data engineering fundamentals including ETL processes, data pipelines, storage solutions, and system integrations
- knowledge of cloud architecture, distributed systems, API‑based services, and event‑driven application design
- familiarity with cloud security best practices covering identity management, access controls, encryption, and resilient infrastructure design
- experience working with cross‑functional and geographically distributed teams, collaborating effectively across technical disciplines and international locations
- comfortable using AI‑powered coding assistants such as GitHub Copilot, Cursor, or similar tools
- fluency in English with strong communication skills to explain technical concepts and collaborate with diverse stakeholders
- proactive analytical mindset, strong troubleshooting abilities, and commitment to automation, continuous improvement, and reliable engineering practices
- additional assets: experience with Snowflake, Azure AI Foundry, LangChain, Model Context Protocol (MCP), or similar AI development tools
- familiarity with DevSecOps methodologies, platform engineering, and site reliability engineering (SRE) practices
- relevant cloud certifications, particularly in Azure or AWS
- experience developing frontend applications, internal developer portals, or self‑service infrastructure platforms
Skills
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