or apply directly on DigitalOcean's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 50 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 the Director of Engineering for Serverless Inference at DigitalOcean, you will lead a team focused on designing and optimizing infrastructure and APIs for large-scale AI workloads. Your responsibilities will include raising engineering standards, fostering team culture, collaborating with cross-functional teams, and overseeing the technical roadmap for high-throughput API gateways. You will also manage incident response and operational readiness to ensure production-quality engineering practices.
- benefits
- 3/5
- freshness
- 4/5
- 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
- 4+ years of experience directly managing engineering teams
- Experience managing teams that build and operate multi-tenant platforms or distributed backend systems
- Deep understanding of SRE principles, including observability, incident management, reliability engineering, capacity planning, and operational automation
- Strong understanding of cloud-native multi region architectures, microservices, and distributed systems fundamentals
- Experience with Kubernetes and/or operating high-scale distributed services in production environments
Nice to have
- Experience working with GPUs, GPU utilization tracking, or accelerated computing infrastructure
- Familiarity with Large Language Models (LLMs) and modern LLM serving architectures, including engines like vLLM or Triton
- Familiarity with LLM serving stacks such as TensorRT-LLM or similar technologies
- Experience building Agents yourself for either personal or professional use
- Experience with API gateways, traffic routing, or service mesh technologies
What you get
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses
- Employee Assistance Program
- Local Employee Meetups
- Flexible time off policy
- Competitive salary with potential bonuses and equity compensation
Worth weighing
- No specific salary range provided, only that it is based on market data and experience
- Role involves managing a team and may require balancing technical and leadership responsibilities
- Fast-paced environment may not suit everyone
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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