Senior Customer Success Engineer I
DigitalOcean · Posted Oct 12
Cloud infrastructure, virtual machines, managed database, and AI inference services
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About the role
DigitalOcean is a cloud platform company that aims to simplify cloud and AI so builders can spend more time creating software, and this role sits within its advanced support team for Customer Success Engineering. The team provides white-glove support and technical guidance to DigitalOcean's strategic customers across complex cloud domains. This Senior Customer Success Engineer acts as a subject matter expert for Kubernetes, AI/ML workloads, and GPU-backed infrastructure, troubleshooting advanced cases, shaping runbooks and documentation, and mentoring internal engineers.
What you will do
- 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 our 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.
Skills used in this role
What the employer is looking for
- 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).
- 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.
Preferred qualifications
- 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 and support
- Bonus in addition to base salary; bonus amounts are determined based on company and individual performance
- Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses to support continued growth and development
- Employee Assistance Program
- Local Employee Meetups
- Flexible time off policy
About DigitalOcean
DigitalOcean is an American cloud infrastructure provider and AI-native cloud platform built for developers, startups, and small-to-medium-sized businesses. The company provides simple, scalable virtual machines, managed databases, Kubernetes, and specialized inference engines designed to run modern application and agentic AI workloads.
- Industry
- Cloud Computing
- Company size
- 1001-5000 employees
- Founded
- 2011-06-24
- Location
- Broomfield, Colorado, USA
- Funding stage
- Public Company
Funding
Public Company · $174M raised
- 2013-07-01Seed$3.2M
- 2014-03-01Series A$37.2M
- 2014-12-01Debt Financing$50M
- 2015-07-01Series B$83M
- 2016-04-01Debt Financing$130M
- 2020-05-01Venture Round$50M
- 2021-03-24IPO$775.5M
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Technology Officer
Chief Marketing Officer
Recent coverage
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