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DigitalOcean

Senior Engineering Manager, Kernel and Virt

DigitalOcean · Seattle

Posted about 3 months ago · $200,800 - $251,000

or apply directly on DigitalOcean's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
DigitalOcean's roles stay open a median of 83 days
Reposted
No
Salary listed
Yes
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
2026-10-25

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

The Senior Engineering Manager will lead the Inference Orchestration team at DigitalOcean, focusing on the strategy and execution of Kubernetes-based AI infrastructure. Responsibilities include team leadership, project execution, cross-functional collaboration, and ensuring operational health of services. The role also involves defining technical roadmaps and optimizing GPU utilization for AI workloads.

Our read on this posting3.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

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

  • Proven track record of managing and growing high-performing engineering teams, preferably within a distributed systems or infrastructure domain.
  • Deep expertise in Kubernetes at scale and a strong foundational understanding of the core challenges in AI workload orchestration, scheduling, and resource management.
  • Strategic knowledge of GPU architectures (NVIDIA and/or AMD), interconnects (like NVLink), and hardware topology and their direct impact on AI training and inference performance.
  • Experience in balancing performance against cost, applying principles like Dominant Resource Fairness (DRF), and directing strategies for maximizing cluster efficiency.
  • Familiarity with concepts in container runtime internals, system isolation, and security contexts to manage risk in shared infrastructure.
  • Strong understanding of modern LLM serving architectures, disaggregation patterns, and common serving engines (e.g., vLLM, Triton, SGLang).

What you get

  • Base salary range of $200,800 - $251,000.
  • Eligibility to participate in DigitalOcean’s annual bonus plan and potential for a new hire equity grant, subject to plan terms and local eligibility.
  • Reimbursement for relevant conferences, training, and education, subject to company policy.
  • Flexible time off, local team meetups, and mental health and well-being support.
  • Opportunity to participate in Employee Stock Purchase Program.

Worth weighing

  • The role is hybrid, which may require in-office presence.
  • No specific mention of the technology stack beyond Kubernetes and AI infrastructure, which may imply reliance on existing technologies.
  • The posting emphasizes a fast-paced environment, which may indicate a high-pressure work culture.

Summarised from DigitalOcean's posting. Read the full original.

Listed by DigitalOcean on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.

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