We’re looking for a Senior AI DevOps Engineer to work alongside experienced engineering teams on cloud infrastructure, automation and AI-enabled solutions for enterprise clients. You’ll help build, improve and maintain scalable cloud environments while supporting modern DevOps practices and AI-assisted engineering workflows. What you’ll do 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 What we’re looking for Strong hands-on experience with AWS, Azure and/or GCP Experience with Terraform, OpenTofu, Bicep, CloudFormation or similar IaC 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 Experience with MLOps, AI infrastructure, LLM deployment or automated cloud operations is considered a plus.
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