Senior Cloud Infrastructure Engineer (AI/ML Cloud Platform)

bridge351 • Portugal

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AI Summary

Join the central AI team of a leading European logistics group to design, build, and operate cloud-native infrastructure for AI solutions, data pipelines, and agents. Focus on Azure/AWS, IaC, CI/CD, and DevSecOps while collaborating internationally to scale AI use cases. Requires strong cloud-native development, Python/SQL, and hands-on experience with automation and observability.

Key Highlights

Build and operate cloud-native infrastructure for AI solutions, data pipelines, and agents on Azure/AWS

Lead cloud architecture decisions for agentic workflows, event-driven services, and data platforms

Collaborate with international teams to onboard environments, troubleshoot deployments, and scale use cases

Key Responsibilities

Design and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, and agents primarily on Azure with AWS exposure

Develop reusable infrastructure, deployment, and observability patterns to ensure scalability and reliability

Automate provisioning, CI/CD pipelines, monitoring, logging, secrets management, and cost controls

Support cloud architecture decisions for agentic workflows, event-driven services, and data platforms

Ensure environments adhere to security standards for identity, access, encryption, and resilience

Work with country IT teams to onboard environments, troubleshoot deployments, and scale AI use cases

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Technical Skills Required

Cloud-Native Development (Azure/AWS) Infrastructure as Code (IaC) Python

Benefits & Perks

100% remote work opportunities

Health and Life Insurance

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Nice to Have

Snowflake

Azure AI Foundry

LangChain

MCP or similar AI tooling

DevSecOps, platform engineering, or SRE practices

Cloud certifications

Frontend or developer portal experience

TypeScript

Experience with Snowflake, Azure AI Foundry, LangChain, or similar AI tooling

Job Description

Join the central AI team of a leading European logistics group, present in around 40 countries. You'll build and run the cloud foundation that takes AI use cases, agents and data products from prototype to production.Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs and agents, mainly on Azure with some AWSCreate reusable infrastructure, deployment and observability patternsAutomate provisioning, CI/CD, monitoring, logging, secrets management and cost controlsSupport cloud architecture decisions for agentic workflows, event-driven services and data platformsEnsure environments follow security standards for identity, access, encryption and resilience

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