Senior Engineer II — Serverless AI Inference (Hybrid)

DigitalOcean

Seattle (WA)

Hybrid

USD 167,000 - 209,000

Full time

14 days+
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Benefits offered by this job

Equity compensation
Bonus potential

Job summary

DigitalOcean is seeking a Senior Engineer II to design and optimize serverless inference infrastructure and APIs for high-throughput AI workloads. You will enhance observability, reliability, and capacity planning while collaborating with platform, GPU, and product teams to deliver production-grade systems and highly available APIs.

The role requires 7+ years building distributed backend systems, 1+ year Go in production, and 2+ years Kubernetes experience, with a focus on on-call readiness and

Qualifications

  • 7+ years building and operating multi-tenant platforms or distributed backend systems.
  • Strong production experience with high-scale distributed services.
  • Deep understanding of SRE: observability, incident management, reliability, capacity planning, automation.
  • 1+ years hands-on Go in production.
  • 2+ years Kubernetes experience.
  • Cloud-native architectures, microservices, distributed systems fundamentals.
  • Experience debugging performance, scalability, reliability in production.
  • Observability proficiency: TTFT, TPOT, GPU utilization metrics.

Responsibilities

  • Design and build scalable, multi-tenant services powering AI inference and routing workloads.
  • Improve resiliency via observability, capacity, automation, and tooling.
  • Collaborate with platform, GPU infra, and product teams for production-grade systems and APIs.
  • Raise engineering bar with solid design, incident management, and continuous improvement.
  • Contribute to traffic management, service orchestration, reliability, and platform scalability.
  • Participate in on-call rotations and reduce operator pain and incidents.
  • Provide technical leadership by breaking down complex problems and guiding execution.
  • Mentor junior/mid engineers through coaching and pairing.

Skills

Go/Golang
Kubernetes
SRE principles
Observability
Distributed backend
Multi-tenant
Incident management
Performance debugging

Job description

DigitalOcean is seeking a Senior Engineer II to design and optimize serverless inference infrastructure and APIs for high-throughput AI workloads. You will enhance observability, reliability, and capacity planning while collaborating with platform, GPU, and product teams to deliver production-grade systems and highly available APIs.

The role requires 7+ years building distributed backend systems, 1+ year Go in production, and 2+ years Kubernetes experience, with a focus on on-call readiness and

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