Senior Cloud Engineer

About ArcelorMittal Global Solutions AI Team

The AMGS AI Team is a transversal Artificial Intelligence capability enabling business divisions to create measurable value through responsible, production-grade AI and data solutions. We support the full lifecycle of AI initiatives across Finance, HR, Supply Chain, Logistics, Manufacturing, and Operations, while owning technical delivery, quality, and risk controls.

Our portfolio includes document automation, forecasting, optimization, computer vision, predictive maintenance, AI-powered assistants, and GenAI-driven enterprise applications.

Role Summary

As a Senior Cloud Engineer, you will design, build, and operate cloud platforms and solutions that host AI, data, and enterprise applications developed by the AMDS AI Team.

In the initial phase, you will work hands-on, primarily on Microsoft Azure, designing and implementing cloud architectures, environments, and DevOps pipelines yourself. As the team grows, you will progressively lead and mentor other cloud engineers, oversee their work, and ensure a consistently high standard of quality, security, and reliability across all cloud solutions.

While Azure will be the primary platform, you are expected to expand into AWS over time as AMGS AI solutions evolve.

Key Responsibilities

Hands-on Cloud Engineering (Initial Phase)

• Design and implement cloud architectures on Azure for AI, data, and software solutions
• Build and operate cloud environments supporting production workloads
• Implement infrastructure as code (IaC) and CI/CD pipelines
• Ensure security, scalability, reliability, and cost efficiency of cloud solutions
• Support deployment and operation of applications, data pipelines, and AI systems

DevOps & Platform Enablement

• Establish and maintain DevOps practices, tooling, and standards
• Support software developers and data scientists with cloud environments and deployment pipelines
• Troubleshoot infrastructure, deployment, and runtime issues
• Contribute to operational excellence, monitoring, and incident management

Technical Leadership (As Team Grows)

• Guide and mentor other cloud engineers
• Review infrastructure and DevOps implementations
• Define and enforce cloud architecture and engineering standards
• Oversee technical quality, maintainability, and security of cloud platforms

Cross-Functional Collaboration

• Work closely with software developers, data scientists, and AI engineers
• Align cloud designs with application, data, and AI requirements
• Support planning, estimation, and technical decision-making

Required Skills & Experience

Cloud & DevOps Skills

• Strong experience designing and operating cloud solutions, primarily on Microsoft Azure
• Experience with core cloud services (compute, storage, networking, identity, security)
• Solid DevOps knowledge including CI/CD, automation, and infrastructure as code
• Experience supporting production workloads in cloud environments
• Understanding of cost management and cloud optimization principles

Technical Leadership & Ownership

• Ability to work independently and own cloud solutions end-to-end
• Experience mentoring or guiding other engineers (formal or informal)
• Strong sense of accountability for platform reliability and quality
• Comfortable making architectural and operational trade-offs

Professional Experience

• Proven experience as a Cloud Engineer in production environments
• Experience working with cross-functional teams (software, data, AI)
• Experience in complex or enterprise environments

Nice to Have

• Experience with AWS or willingness to grow into AWS-based solutions
• Exposure to MLOps practices and tooling
• Experience supporting AI or data platforms
• Familiarity with security, compliance, and governance in enterprise cloud setups

What We Look For in This Role

• A hands-on cloud engineer who enjoys building and operating real platforms
• A future technical leader who can scale cloud practices and teams
• Someone who balances pragmatism with long-term reliability and security
• A strong collaborator who enables developers and data scientists to succeed

What This Role Is Not

• A purely managerial role
• A hands-off architect position
• A narrow DevOps-only role without platform ownership

If you enjoy building and owning cloud platforms, supporting AI and data teams, and growing into a technical leadership role, this position offers the opportunity to shape how AMGS AI delivers solutions at scale.