You’ll build, improve and maintain scalable cloud environments and support AI-enabled solutions for enterprise clients. The role focuses on cloud infrastructure, automation and DevOps practices across AWS, Azure and/or GCP.
Strong hands-on experience with AWS, Azure and/or GCP.
Experience with Terraform, OpenTofu, Bicep, CloudFormation or similar Infrastructure as Code tools.
Strong knowledge of Kubernetes, Docker and container orchestration.
Experience building and maintaining CI/CD pipelines.
Understanding of cloud networking, security, monitoring and observability.
Familiarity with GitHub Copilot, Claude Code or other AI-assisted development tools.
Experience collaborating with distributed engineering teams.
Strong communication skills and working proficiency in English.
Nice to have:
Experience with MLOps, AI infrastructure, LLM deployment or automated cloud operations.
Design, implement and maintain cloud infrastructure on AWS, Azure and/or GCP.
Develop and improve CI/CD pipelines, infrastructure automation and deployment processes.
Work with existing engineering teams to improve platform reliability, scalability and security.
Support containerized applications and Kubernetes-based environments.
Implement Infrastructure as Code and infrastructure monitoring solutions.
Explore and apply AI-assisted tools to improve development and operational workflows.
Recruitment process: application review, interview, technical discussion and decision.
