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Senior Cloud Platform Engineer (AI/ML Infrastructure)

Jobgether • Saudi Arabia
Remote Visa Sponsorship
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Design, build, and operate scalable cloud infrastructure for AI applications and data products, primarily on Microsoft Azure with AWS exposure. Automate deployments, enforce security, and collaborate with global teams to enable production-ready AI solutions. Focus on platform engineering, DevSecOps, and observability to accelerate innovation at scale.

Key Highlights
Primary responsibility: Cloud-native infrastructure for AI applications, intelligent agents, and data products on Microsoft Azure (with AWS exposure)
Automate CI/CD, IaC, monitoring, and security to standardize and accelerate cloud environments globally
Collaborate with cross-functional teams to deploy secure, scalable, and cost-efficient cloud solutions for international logistics operations
Key Responsibilities
Design, build, and maintain cloud-native infrastructure supporting AI applications, intelligent agents, APIs, and data pipelines on Microsoft Azure and AWS
Develop reusable IaC modules, deployment templates, and observability frameworks to standardize cloud environments and accelerate development workflows
Automate infrastructure provisioning, CI/CD pipelines, monitoring, logging, secrets management, and cloud cost controls using DevSecOps principles
Collaborate with AI engineers, data specialists, and international IT teams to establish secure, automated, and cost-efficient cloud environments
Implement and maintain cloud security standards, including identity and access management, encryption, resilience, and secure infrastructure configuration
Establish reliable monitoring, alerting, and operational practices to improve platform availability, performance, and maintainability
Support the transition of AI and data solutions from development to production-ready environments across global operations
Technical Skills Required
Microsoft Azure Infrastructure as Code (IaC) Python
Benefits & Perks
100% remote work
Health insurance
Potential visa support via Tech Visa arrangement (for eligible candidates)
Nice to Have
Experience with Snowflake, Azure AI Foundry, LangChain, or Model Context Protocol (MCP)
Familiarity with DevSecOps, platform engineering, and site reliability engineering (SRE) practices
Relevant cloud certifications (Azure/AWS)
Experience with frontend applications or internal developer portals
Fluency in TypeScript

Job Description

As a Cloud Platform Engineer, you will design, build, and operate scalable cloud infrastructure that enables AI applications, intelligent agents, and data products to move from prototype to production. You will join a central AI team supporting a major international logistics organization, contributing to cloud-native solutions across multiple countries. With a primary focus on Microsoft Azure and exposure to AWS, you will develop reliable infrastructure, deployment workflows, and observability frameworks that accelerate innovation. You will collaborate with AI engineers, data specialists, and international IT teams to establish secure, automated, and cost-efficient cloud environments. Your work will help streamline infrastructure provisioning, strengthen operational resilience, and enable the adoption of advanced AI-driven solutions at scale. This remote opportunity is ideal for a technically strong engineer who enjoys platform automation, cloud architecture, and solving complex challenges in a collaborative, international environment.
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