Job Summary
A company is looking for a Senior Customer Success Engineer.
Key Responsibilities
- Act as a technical subject matter expert (SME) for Kubernetes, AI/ML workloads, and GPU-backed infrastructure
- Troubleshoot and resolve advanced support cases related to orchestration, performance tuning, container networking, and GPU-based compute
- Engage directly with strategic customers via tickets, Slack, email, and live sessions
Required Qualifications
- 5+ years in technical support, DevOps, solutions engineering, or SRE roles
- Deep experience with Kubernetes (preferably CKA-certified) in production environments
- Experience supporting AI/ML workflows using GPUs (e.g., NVIDIA A100, L4, CUDA, TensorFlow, PyTorch)
- Advanced knowledge of Linux systems administration (Ubuntu/Debian) and shell scripting
- Familiarity with container lifecycle management and GPU scheduling in Kubernetes
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