Remote Azure AI Cloud Platform Engineer

Bridge351; Lisboa; Hybrid; EUR 65,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Job summary

Bridge351 is leading the cloud foundation for AI use cases in a global logistics group. You will build and run cloud-native infrastructure (Azure with AWS exposure) and orchestrate data pipelines, APIs, and agents. A strong focus on automation, observability, and security guides daily work.

You’ll collaborate with cross-functional, international teams to onboard environments, scale deployments, and optimize costs while adopting AI coding tools and modern DevOps practices.

Qualifications

• Cloud-native development and deployments on Azure with AWS exposure.
• Hands-on IaC, CI/CD, containers, monitoring and logging.
• Strong Python and SQL skills; TypeScript a plus.
• Understanding of data engineering: ETL, pipelines and storage.
• Experience in cross-functional, international teams.
• Comfortable using AI coding tools such as Copilot or Cursor.
• Fluent English.

Responsibilities

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs and agents.
• Create reusable infrastructure, deployment and observability patterns.
• Automate provisioning, CI/CD, monitoring, logging, secrets management and cost controls.
• Support cloud architecture decisions for agentic workflows and data platforms.
• Ensure environments follow security standards for identity, access, encryption and resilience.
• Work with country IT teams to onboard environments, troubleshoot deployments and scale use cases.

Skills

Azure

AWS

IaC

CI/CD

Containers

Monitoring

Logging

Python

SQL

TypeScript

ETL

Data pipelines

English

AI tools

Tools

GitHub Copilot

Cursor

LangChain

Job description

Bridge351 is leading the cloud foundation for AI use cases in a global logistics group. You will build and run cloud-native infrastructure (Azure with AWS exposure) and orchestrate data pipelines, APIs, and agents. A strong focus on automation, observability, and security guides daily work.

You’ll collaborate with cross-functional, international teams to onboard environments, scale deployments, and optimize costs while adopting AI coding tools and modern DevOps practices.