Currently we are looking for a suitable candidate for an American AI technology startup that builds scalable infrastructure for AI, data, and modern web applications. If you enjoy automation, containers, and fine-tuning things to perfection, keep reading.Type of cooperation: Full remoteYour responsibilities in following fields:Infrastructure as CodeCodify all infrastructure as TerraformWrite and maintain Terraform modules for Kubernetes clustersDevelop Ansible playbooks for server provisioning, application deployment, and configuration managementManage environment-specific configurationsCI/CD and Deployment Automation (Key priority)Build automated deployment pipelines from scratch (current deployments are manual and automating them is a priority)Design and implement CI/CD workflowes in GitHubbridge the gap between infrastructure and application codeContainer & Application DeploymentDeploy and scale services - mostly FastApi, some .NET - on KubernetesManage dependency and package workflows across servicesManage Container Registries with geo-replication and image lifecycle policiesWrite and maintain Linux bash scripts for package installDatabase & Storage OperationsOwn PostgreSQL as primary datastore - setup, replication, backups, and performance tuningManage schema migrations and database access patterns alongside FastApi and .NET servicesReliability & SecurityImplement multi-region geo-redundancy with automatic failover and health checks.Configure Cloudflare for global traffic management, geo-steering, WAF, and DDoS protectionManage secrets with Azure Key Vault and implement proper rotation policiesBuild monitoring dashboards with Azure Monitor, Application Insights, and Log Analytics.Plan and test disaster recovery procedures; document RTO/RPO targetsOptimize cloud costs and implement FinOps practices.Our requirements:Strong experience on DevOps Engineer roleAI-native, agent driven Workflow (hands on experience with Claude code or Codex is requiredPostgreSQL knowledgeTerraform expertise, Ansible proficiency, Azure Cloud platformExperience with KubernetesStrong Linux administration knowledgeCI/CD pipeline experienceDocker and containerization experienceMonitoring and alertingExperience with Multi-region deploymentWhy this role?fully remotecooperationsmall teamsinteresting productscompetitive compensationown real infrastructurenon corporate environment, low bureaucracyImportant: Due to an increase in fraudulent applications within the technology sector, candidates selected for further stages will be required to verify their identity and employment history. Applications containing inaccurate or misleading information will be withdrawn from consideration.

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AI DevOps Engineer (full remote)