Senior Customer Success Engineer I

The role

You will act as a technical subject matter expert providing white-glove support to strategic customers. You will troubleshoot advanced support cases involving Kubernetes, AI/ML workloads, and GPU infrastructure.

What you will do

• Act as a technical subject matter expert 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 and high-value customers via tickets, Slack, email, and live sessions.
• Partner with Engineering and Product teams to provide feedback on platform usability, bugs, and customer needs.
• Help shape internal runbooks, SOPs, and documentation to scale AI/ML and GPU-related support.
• Participate in incident management, root cause analysis, and retrospective reviews.
• Contribute to the architecture and optimization of customer workloads for high availability and cost efficiency.
• Educate and mentor internal team members on Kubernetes and GPU-based architectures.
• Influence roadmap priorities by surfacing recurring pain points and opportunities.

Required qualifications

• 5+ years in technical support, DevOps, solutions engineering, or SRE roles.
• Deep experience with Kubernetes in production environments.
• Experience supporting AI/ML workflows using GPUs (e.g., NVIDIA A100, L4, CUDA, TensorFlow, PyTorch).
• Familiarity with container lifecycle management, GPU scheduling, and scaling AI jobs in Kubernetes.
• Advanced knowledge of Linux systems administration (Ubuntu/Debian), shell scripting, and performance tuning.
• Deep Knowledge of Bare Metal and Virtualized environments
• Ability to communicate complex technical topics clearly to customers and cross-functional stakeholders.
• Experience troubleshooting full-stack deployments—containers, orchestration, networking, and storage.
• Comfortable working independently and collaboratively in a remote environment.

Nice to have

• CKA-certified
• Familiarity with cloud-native observability stacks (Prometheus, Grafana, OpenTelemetry).
• Hands-on experience with Paperspace, JupyterHub, Kubeflow, or Ray.
• Exposure to networking topics like CNI plugins, overlay networks, and ingress controllers.
• Prior experience in customer-facing roles at IaaS/PaaS providers or ML Ops platforms.

Benefits

• Reimbursement for relevant conferences, training, and education, subject to company policy.
• Flexible time off
• Local team meetups
• Mental health and well being support
• Annual bonus plan
• New hire equity grant
• Employee Stock Purchase Program

Before you apply

• You may apply to a maximum of 3 positions within any 180-day period.

About the company

DigitalOcean is a technology company that builds scalable cloud infrastructure. They aim to simplify cloud and AI for builders.