This role centers on designing, automating, and optimizing deployment infrastructure for AI-driven workflows. You will build robust CI/CD pipelines and implement AI-powered automation tools (such as Claude Code, GitHub Copilot CLI, etc.) to maximize engineering efficiency. The goal is to create systems that enable a lean technical team to operate at significantly higher output than traditional staffing models would require. You will own the full infrastructure lifecycle: architecture, deployments, and stability. This includes Kubernetes orchestration, managed database services (AWS RDS), and high-performance tooling in Python and Rust. Basic React knowledge is needed to understand frontend integration points. Success is measured by operational leverage: your automation should allow 1-2 engineers to deliver what typically requires 3-5. This demands deep expertise in infrastructure as code, proactive optimization, and practical application of generative AI tools to DevOps workflows.