Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.

The Senior Site Reliability Engineer at iManage will build and maintain resilient platforms, drive reliability best practices, and support cloud infrastructure with automation and scalable solutions.

Lead end-to-end ML lifecycle for enterprise NLP and generative AI systems: prototype, fine-tune, deploy, and scale LLM/NLP solutions on GPU-backed Kubernetes cloud infrastructure while ensuring observability, CI/CD, performance, and cost efficiency.