Design, build, and operate scalable cloud infrastructure for AI applications, intelligent agents, and data products using Microsoft Azure and AWS. Automate CI/CD, security, and observability while collaborating with global teams to accelerate innovation and production readiness. Requires hands-on cloud expertise, IaC, Python, and strong DevOps principles.
Key Highlights
Primary focus on Microsoft Azure with exposure to AWS for AI/ML and data-driven solutions
Automate cloud infrastructure, CI/CD, security, and observability using IaC and DevOps practices
Collaborate with international teams to scale cloud-native platforms for global 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
Automate infrastructure provisioning, CI/CD pipelines, monitoring, logging, secrets management, and cloud cost controls
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, and resilient infrastructure design
Establish monitoring, alerting, and operational practices to improve platform availability, performance, and maintainability
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Technical Skills Required
Microsoft Azure
Infrastructure as Code (IaC)
Python
Benefits & Perks
100% remote work
Health insurance
Life insurance
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
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)
TypeScript
SQL
Experience with frontend applications or internal developer portals
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.
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.
