Infrastructure Engineer – Data & AI Platforms

About the role

We are seeking an Infrastructure Engineer specialized in Data & AI platforms to design, build, deploy and maintain secure, scalable, and reliable infrastructure across cloud and on‑premise environments. You will lay the technical foundation for compute, storage, networking, container platforms and automation, supporting Fortune 500 clients worldwide.

Key responsibilities

• Design, implement and maintain infrastructure for Data and AI workloads on AWS, Azure or GCP and on‑premise systems.
• Act as a subject‑matter expert, defining platform standards, technical approaches and best practices.
• Automate provisioning, configuration and lifecycle management using Infrastructure‑as‑Code and scripting.
• Support containerised environments, including Kubernetes and related orchestration tools.
• Manage compute, storage, networking, access controls and system connectivity, ensuring performance, capacity and availability.
• Monitor health of platforms, troubleshoot incidents and drive continuous improvement.
• Collaborate with delivery teams and stakeholders to translate business needs into infrastructure solutions.

Required profile

• Minimum 4 years of experience in infrastructure, platform or cloud engineering.
• Hands‑on experience with at least one major cloud provider (AWS, Azure, GCP).
• Strong knowledge of Linux/UNIX or Windows Server administration.
• Experience with containerisation and orchestration technologies.
• Proficiency in infrastructure automation, configuration management and CI/CD pipelines.
• Good understanding of networking, storage, security and system integration.

Required skills

• AWS
• Azure
• Google Cloud Platform (GCP)
• Linux/UNIX
• Windows Server
• Kubernetes
• Docker (containerisation)
• Infrastructure as Code
• Automation tools
• Configuration management tools
• CI/CD tools
• Networking
• Storage
• Security
• System integration

What we offer

• Flexible vacation policy
• Health insurance
• Hybrid work model (office + remote)
• Opportunities to work with global Fortune 500 clients
• Skills development, training and company‑paid certifications
• Career advancement in an inclusive culture