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This role designs and operates reliable managed AI services, with a focus on serving and scaling large language model workloads on training and inference clusters. It defines and measures SLIs/SLOs, builds observability and performance tuning, and resolves reliability issues in distributed systems. Candidates need strong production software engineering skills, distributed systems experience, and familiarity with Kubernetes.