or apply directly on DigitalOcean's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days DigitalOcean's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 68% of DigitalOcean's roles list one
- Ghost-job risk at DigitalOcean
- high 151 stale, 1 reposted of 151 open
- Hiring momentum
- 197 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from DigitalOcean's own greenhouse board since 2026-08-03. Full hiring picture for DigitalOcean.
About this role
As a Senior Customer Success Engineer at DigitalOcean, you will provide expert support to strategic customers, focusing on Kubernetes, AI/ML workloads, and GPU infrastructure. Your role involves troubleshooting complex technical issues, collaborating with engineering teams, and mentoring others, all while ensuring customer success and satisfaction with the platform.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DigitalOcean as an employer.
What you need
- 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
Nice to have
- 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
What you get
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses
- Competitive array of benefits including Employee Assistance Program and flexible time off policy
- Bonus eligibility based on company and individual performance
- Equity compensation including equity grants upon hire and participation in Employee Stock Purchase Program
Worth weighing
- No specific salary range mentioned, only that it is based on market data and experience
- Role involves high-level technical troubleshooting which may require significant expertise and experience
- The position is hybrid, which may require flexibility in working arrangements
Summarised from DigitalOcean's posting. Read the full original.
Listed by DigitalOcean on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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