DigitalOcean Senior Customer Success Engineer Job 2026 – Hyderabad

DigitalOcean has opened applications for the DigitalOcean Senior Customer Success Engineer Job 2026. The role is based out of the Hyderabad office and follows a hybrid work model. So if you have 5+ years of experience in technical support, DevOps, or SRE, and you work with Kubernetes and GPU-backed AI workloads, this opening deserves a close look.

DigitalOcean Senior Customer Success Engineer Job 2026: About the Role

This is a senior subject-matter-expert role on a team focused on cloud computing and AI. Moreover, the work centers on supporting advanced customer workloads. The selected candidate will also collaborate across teams to solve complex technical problems for strategic customers.

DigitalOcean describes itself as a purpose-driven company that supports innovation, career development, and employee well-being. In addition, the posting states that the salary range is based on market data, experience, and skills. However, the posting does not show a specific salary figure or range.

Key Responsibilities

According to the official posting, the selected candidate will:

• Serve as a subject matter expert for Kubernetes, AI/ML workloads, and GPU-backed infrastructure.
• Troubleshoot advanced cases involving orchestration, performance, and containers.
• Support strategic and high-value customers through tickets, Slack, email, and live sessions.
• Share feedback with Engineering and Product teams on usability, bugs, and customer needs.
• Help build runbooks, SOPs, and documentation for AI/ML and GPU support.
• Take part in incident management, root-cause analysis, and retrospectives.
• Help design and optimize customer workloads for availability and cost.
• Mentor teammates on Kubernetes and GPU architectures.
• Surface recurring issues to influence roadmap priorities.

Eligibility and Skills

The official posting lists the following requirements:

• 5+ years in technical support, DevOps, solutions engineering, or SRE.
• Deep production Kubernetes experience (CKA certification preferred).
• Experience supporting AI/ML workflows on GPUs, including NVIDIA hardware, CUDA, TensorFlow, and PyTorch.
• Familiarity with container lifecycle, GPU scheduling, and scaling AI jobs in Kubernetes.
• Advanced Linux administration (Ubuntu/Debian), shell scripting, and performance work.
• Knowledge of bare-metal and virtualized environments.
• Clear communication of complex technical topics to customers and cross-functional partners.
• Experience troubleshooting full-stack deployments across containers, orchestration, networking, and storage.
• Comfort working independently and collaboratively in a remote setting.

Preferred Qualifications

The posting also lists the following as a bonus:

• Familiarity with cloud-native observability tools such as Prometheus, Grafana, and OpenTelemetry.
• Hands-on experience with Paperspace, JupyterHub, Kubeflow, or Ray.
• Exposure to CNI plugins, overlay networks, and ingress controllers.
• Prior customer-facing experience at IaaS/PaaS or MLOps providers.

How to Apply for the DigitalOcean Senior Customer Success Engineer Job 2026

Interested candidates should apply through the official DigitalOcean posting linked in the table above (Job Reference JR: [2026-7644]). Always verify the details on the official page before submitting your application, because only the official posting carries the final and binding information. Note that the posting limits applications to a maximum of 3 positions within any 180-day period. For example, if you are exploring other DigitalOcean openings, you can also read about the DigitalOcean Revenue System Administrator Job 2026 on MSG Job.

Finally, highlight your Kubernetes, GPU, and AI/ML support experience in your resume, since the posting values these strengths highly.