AI/ML Platform Cloud Infrastructure Engineer (GCP)

TL;DR

AI/ML Platform Cloud Infrastructure Engineer (GCP/Terraform): Designing and maintaining scalable cloud infrastructure and GPU-enabled environments for AI/ML workloads with an accent on IaC and multi-project GCP governance. Focus on building self-hosted CI/CD runner infrastructure, implementing advanced networking solutions, and ensuring security-first design.

Location: Must be based in the European Union region and possess a valid work permit

Company

Global AI-first digital transformation and engineering partner helping organizations build scalable data-driven solutions.

What you will do

• Design and maintain scalable cloud infrastructure on GCP using Terraform and IaC best practices.
• Manage multi-project GCP environments with a focus on security, governance, and cost control.
• Build and operate self-hosted CI/CD runner infrastructure with autoscaling capabilities.
• Architect and manage advanced GCP networking solutions, including hybrid connectivity.
• Provision and operate GPU-enabled infrastructure to support AI/ML workloads.
• Maintain end-to-end ownership of delivered infrastructure solutions.

Requirements

• Deep expertise in Terraform (HCL) for large-scale, multi-project environments.
• Strong hands-on experience with GCP multi-project setups.
• Proven experience with GPU-enabled infrastructure for AI/ML workloads.
• Experience designing and operating self-hosted CI/CD runner platforms.
• Advanced knowledge of cloud networking and hybrid connectivity on GCP.
• English: B2 level required
• Location: Must be based in the EU with a valid work permit

Nice to have

• Experience applying GenAI in SDLC workflows, including prompt patterns or tool integrations.
• Familiarity with emerging AI-driven practices such as agent-based workflows and AI-augmented development.

Culture & Benefits

• People-first culture with a strong emphasis on engineering excellence.
• Consulting mindset with a continuous focus on growth and knowledge sharing.
• Opportunity to work with high-profile global clients such as Spotify, Disney, and McLaren.
• Collaborative environment within a team of nearly 1,000 experts in the CEE region.

Hiring process

• CV review and HR introductory call.
• Technical interview.
• Client interview and final decision.