Cloud Engineer, AI

Description:

• Design and implement cloud solutions (AWS, Azure, Google Cloud) supporting AI workflows and ML services
• Ensure high availability, redundancy, and disaster recovery
• Monitor performance, conduct capacity planning, and optimize costs
• Automate infrastructure and deployment processes (Infrastructure as Code, CI/CD)
• Set up and maintain security and access controls, networking, and cloud policies
• Collaborate with the ML team to ensure models run efficiently and at scale
• Drive and contribute to cross-functional initiatives for architecture, operations, and infrastructure standards
• Take ownership in a small but growing tech team and contribute strategically to platform architecture and operations

Requirements:

• A relevant degree in computer science, engineering, or similar – or equivalent professional experience
• Several years of experience as a Cloud Engineer, DevOps Engineer, or in a similar role
• Exposure to AI/ML infrastructure
• Strong experience with cloud platforms such as AWS, GCP, or Azure
• Experience with Kubernetes and Docker
• Experience with Infrastructure as Code tools (Terraform/CloudFormation)
• Solid knowledge of networking, security, and cloud operations
• Proven track record of optimizing cloud cost and performance
• Analytical mindset and problem-solving skills
• Fluent communication skills in English
• It’s a plus to have experience from a fast-paced environment, SaaS, or project-based business models

Benefits:

• Flexible ways of working – both remote and office (hybrid)
• Wellness allowance
• Professional development budget
• The right tools to stay ahead in your field
• Strong opportunities for technical and professional growth