or apply directly on DigitalOcean's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 19 days DigitalOcean's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 68% of DigitalOcean's roles list one
- Ghost-job risk at DigitalOcean
- high 101 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
- 2026-09-17
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 Capacity Planner at DigitalOcean, you will focus on optimizing the Serverless Instance offering by analyzing usage statistics and predicting customer demand shifts. Your role involves making recommendations for GPU server allocation, building automation tools, and collaborating with cross-functional teams to deploy GPU hardware. You will also maintain an understanding of the GPU hardware market and track capacity metrics to ensure efficient operations.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- 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
- 5+ years of experience in capacity planning, infrastructure operations, or a related technical/analytical role
- Strong understanding of the current GPU hardware market — models, vendors, availability, and performance characteristics
- Familiarity with serverless inference workloads and spot capacity dynamics
- Experience analyzing usage and demand data to drive resource allocation or optimization decisions
- Strong foundation with SQL and data visualization tools (e.g. Looker, Grafana) to build reporting and models
- Experience with, and strong interest in building, automation/tooling/AI agents to reduce manual analysis
Nice to have
- Experience with data center inventory tools such as dcTrack or Netbox
What you get
- Competitive salary range of $106,000 - $132,000
- Bonus eligibility based on company and individual performance
- Equity compensation including grants upon hire and participation in Employee Stock Purchase Program
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses
- Flexible time off policy
Worth weighing
- No specific mention of remote work options, though it is a hybrid role
- Salary range provided, but no details on how bonuses are structured
- Focus on GPU hardware suggests a specialized niche that may limit broader skill development
Summarised from DigitalOcean's posting. Read the full original.
Listed by DigitalOcean on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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