Senior Customer Success Engineer I
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Before you apply
LocationHyderabad Metro, Hyderabad
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentCustomer Support
EquityIncluded
Company size1,001–5,000 people
PostedApr 1, 2026 · 7mo ago
Verified live2d ago
May no longer be actively hiring
First seen on the company's careers page 215 days ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Kubernetes
AI/ML
GPU
NVIDIA A100
NVIDIA L4
CUDA
TensorFlow
PyTorch
CKA
Linux
Ubuntu
Debian
shell scripting
Bare Metal
Virtualized environments
Prometheus
Grafana
OpenTelemetry
Paperspace
JupyterHub
Kubeflow
Ray
CNI plugins
overlay networks
ingress controllers
Benefits
Flexible time off
Remote stipend
Health insurance
Equity compensation
Annual bonus plan
About the company
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Customer Success Engineer SME with a minimum 5 years of experience and deep expertise in Kubernetes, AI/ML workloads, and GPU infrastructure who is passionate about helping our customers scale and innovate with cutting-edge technologies.
As a Senior Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You will be a key member of our advanced support team, helping DigitalOcean’s strategic customers succeed by providing white-glove support and guidance across complex technical domains. Reporting to the Manager of Customer Success Engineering, you’ll act as both a trusted advisor and a technical troubleshooter, empowering our customers to build and scale confidently on our platform.
What You’ll Do:
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Act as a technical subject matter expert (SME) for Kubernetes, AI/ML workloads, and GPU-backed infrastructure.
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Troubleshoot and resolve advanced support cases related to orchestration, performance tuning, container networking, and GPU-based compute.
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Engage directly with our strategic and high-value customers via tickets, Slack, email, and live sessions.
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Partner with Engineering and Product teams to provide feedback on platform usability, bugs, and customer needs.
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Help shape internal runbooks, SOPs, and documentation to scale AI/ML and GPU-related support.
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Participate in incident management, root cause analysis, and retrospective reviews.
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Contribute to the architecture and optimization of customer workloads for high availability and cost efficiency.
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Educate and mentor internal team members on Kubernetes and GPU-based architectures.
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Influence roadmap priorities by surfacing recurring pain points and opportunities.
What You’ll Add to DigitalOcean:
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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.
Bonus Points For:
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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.
JR: [2026-7644]
Why You’ll Like Working for DigitalOcean
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We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our “Shark” mindset: bold, ambitious, and scrappy. You’ll lead with a bias for action and take true ownership of our products, customer success, and team culture.
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We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
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We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
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We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.
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Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
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Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.
Legal
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DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.