Senior Cloud Platform Engineer (AI/ML Infrastructure)

Jobgether • Netherlands

Remote Visa Sponsorship

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AI Summary

Design, build, and operate scalable cloud infrastructure for AI applications and data products, primarily on Microsoft Azure with AWS exposure. Automate CI/CD, security, and observability while collaborating with global teams to deploy production-ready cloud solutions. Focus on platform engineering, DevSecOps, and cross-functional cloud architecture for international logistics operations.

Key Highlights

Primary responsibility: Cloud-native infrastructure for AI applications, intelligent agents, and data pipelines on Microsoft Azure (with AWS exposure)

Automate CI/CD, IaC, security, and observability to accelerate development and ensure scalability

Collaborate with cross-functional teams across multiple countries to deploy and scale cloud solutions

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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 reliable monitoring, alerting, and operational practices to improve platform availability and performance

Support the transition of AI and data solutions from development to production-ready environments

Technical Skills Required

Microsoft Azure Infrastructure as Code (IaC) Python

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Benefits & Perks

100% remote work

Health insurance

Life insurance

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Nice to Have

Experience with Snowflake, Azure AI Foundry, LangChain, or Model Context Protocol (MCP)

Familiarity with DevSecOps methodologies and platform engineering

Relevant cloud certifications (Azure or AWS)

Experience with TypeScript

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.

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