DigitalOcean · 2 months ago
Senior Customer Success Engineer
United States
Full-time
Remote
Mid, Senior Level
$93K/yr - $117K/yr
5+ years expDigitalOcean is a cutting-edge technology company focused on simplifying cloud and AI for builders. They are seeking a Senior Customer Success Engineer to provide advanced support and guidance to strategic customers, ensuring their success with Kubernetes and GPU infrastructure.
Cloud ComputingDevOpsSaaSVirtualizationWeb Hosting
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 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
Qualification
Required
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
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
Access to LinkedIn Learning's 10,000+ courses
Employee Assistance Program
Local Employee Meetups
Flexible time off policy
Bonus in addition to base salary
Equity compensation to eligible employees
Equity grants upon hire
Option to participate in our Employee Stock Purchase Program
Company
DigitalOcean
DigitalOcean provides a cloud platform to deploy, manage, and scale applications of any size.
1001-5000 employees
H1B Sponsorship
DigitalOcean has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (30)
2024 (8)
2023 (9)
2022 (22)
2021 (11)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$1.92BKey Investors
Global Secure InvestAccess IndustriesKeyBanc Capital Markets
2025-08-12Post Ipo Debt· $625M
2025-05-05Post Ipo Debt· $800M
2021-09-13Post Ipo Equity· $34.91M
Leadership Team
Paddy Srinivasan
Chief Executive Officer
Larry D'Angelo
Chief Revenue Officer
Recent News
2026-01-03
2025-12-17
2025-12-16
Company data provided by crunchbase