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

Jobgether • Poland

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 deploy production-ready solutions. Leverage DevSecOps and platform engineering principles to optimize cloud operations and accelerate innovation at scale.

Key Highlights

Primary focus on Microsoft Azure with exposure to AWS for AI/ML and data-driven workflows

Automate infrastructure provisioning, CI/CD, monitoring, and security using IaC and DevSecOps

Collaborate with cross-functional teams to deploy scalable, secure, and cost-efficient cloud environments globally

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, performance, and maintainability

Support the transition of AI/data solutions from development to production-ready environments using DevSecOps and SRE principles

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Technical Skills Required

Microsoft Azure Infrastructure as Code (IaC) Python

Benefits & Perks

100% remote work

Health insurance

Potential visa support via Tech Visa (for eligible candidates)

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Nice to Have

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

Familiarity with DevSecOps methodologies, platform engineering, and site reliability engineering (SRE)

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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