Senior AI Platform Engineer, Infra & Gateway

SentinelOne

United States

On-site

USD 132,000 - 182,000

Full time

14 days+
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Benefits offered by this job

RSUs
ESPP
Flexible time off
Holidays

Job summary

SentinelOne in the United States is seeking a Senior AI Platform Engineer, Infrastructure Services to own the AI Gateway infrastructure and drive reliability across the platform. You’ll set technical direction for AI infrastructure, partner closely with CI/CD, GitOps, and security teams, and lead incident response with a focus on scalable, observable systems.

You will design across the platform, enable AI developer tooling, and mentor engineers while operating self-hosted AI workloads with

Qualifications

  • 5+ years in platform, infrastructure, or DevOps engineering, owning systems in production.
  • Hands-on with API gateway tech (Kong/Envoy/Apigee) and AI/LLM gateway patterns.
  • Strong Kubernetes and GitOps experience; multi-environment ops.
  • Solid CI/CD background (Jenkins, pipelines, runners).

Responsibilities

  • Architect, harden, and scale the Kong AI Gateway deployment across orgs.
  • Lead incident response, root-cause analyses, and monitoring improvements.
  • Design across the platform with CI/CD, GitOps, and artifact systems in mind.
  • Evaluate and roll out AI developer tooling and establish build-vs-buy guidance.
  • Set technical direction and mentor engineers; partner with security and product teams.

Skills

Kubernetes
GitOps
CI/CD
Jenkins
Artifactory
Okta/OIDC
AI/LLM gateway

Tools

Kong
Envoy
Apigee
ArgoCD
Terraform
AWS
GitHub Enterprise
Xray
Artifactory

Job description

SentinelOne in the United States is seeking a Senior AI Platform Engineer, Infrastructure Services to own the AI Gateway infrastructure and drive reliability across the platform. You’ll set technical direction for AI infrastructure, partner closely with CI/CD, GitOps, and security teams, and lead incident response with a focus on scalable, observable systems.

You will design across the platform, enable AI developer tooling, and mentor engineers while operating self-hosted AI workloads with

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