Senior Cloud Platform Engineer (AI/ML Infrastructure) - Microsoft Azure & AWS

Jobgether • Germany

Remote Visa Sponsorship

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AI Summary

Design, build, and maintain scalable cloud-native 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 SQL proficiency.

Key Highlights

Remote-first role with 100% flexibility, supporting international logistics AI initiatives

Focus on Microsoft Azure with exposure to AWS for cloud-native AI/ML infrastructure

DevSecOps, platform engineering, and SRE principles to ensure automation, security, and scalability

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Key Responsibilities

Design, build, and maintain cloud-native infrastructure for AI applications, intelligent agents, APIs, and data pipelines on Microsoft Azure and AWS

Develop reusable IaC modules, CI/CD pipelines, and observability frameworks to standardize cloud environments and accelerate development

Automate infrastructure provisioning, security, monitoring, logging, and cost controls while implementing DevSecOps and SRE practices

Collaborate with AI engineers, data specialists, and international IT teams to deploy scalable, secure, and cost-efficient cloud solutions

Ensure cloud security standards (IAM, encryption, resilience) and establish reliable monitoring, alerting, and troubleshooting practices

Technical Skills Required

Microsoft Azure Infrastructure as Code (IaC) Python

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Benefits & Perks

100% remote work with global flexibility

Health insurance coverage

Potential visa support via Tech Visa (for eligible candidates)

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Nice to Have

Experience with Snowflake, Azure AI Foundry, or LangChain

Familiarity with DevSecOps methodologies and platform engineering

Relevant cloud certifications (Azure/AWS)

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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