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Join the team defining the future of enterprise AI.\nKey responsibilities\nDesign and implement cloud infrastructure from the ground up\n\nBuild and maintain Kubernetes clusters optimized for GPU workloads and ML applications, as well as Production SaaS hosting\n\nImplement GitOps practices using ArgoCD for continuous deployment\n\nDevelop infrastructure as code using Terraform\n\nCreate and maintain CI/CD pipelines for infrastructure and application deployment\n\nImplement monitoring and observability solutions for distributed systems\n\nAutomate infrastructure management with Python and Bash\n\nCollaborate with ML engineers to optimize infrastructure for model training and serving\n\nImplement and maintain cost optimization strategies (FinOps) for cloud resources\n\nMonitor and optimize cloud spending, especially for GPU-intensive workloads\n\nMust have\n5+ years of experience in cloud infrastructure and DevOps\n\n3+ years of experience with Python\n\nStrong experience with AWS and 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