Staff DevOps Architect: Hybrid Kubernetes & AWS Platform

Slate Auto

Seattle (WA)

On-site

USD 156,000 - 234,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Vacation
401k
Equity program
Annual incentive

Job summary

Slate is seeking a Staff DevOps Engineer to set the technical direction for building, running and operating our infrastructure. This hands-on role blends architecture, code, and on-call responsibilities, reporting to the DevOps team lead.

You will design a hybrid Kubernetes platform spanning Amazon EKS and self-managed clusters, evolve the AWS foundation, and build a reliable, scalable platform used by manufacturing, data, and enterprise teams.

Qualifications

  • Extensive hands‑on experience designing and operating production AWS environments across many accounts.
  • Experience running Kubernetes in production on EKS and self‑managed clusters.

Responsibilities

  • Architect the Hybrid Kubernetes Platform across Amazon EKS and self-managed clusters.
  • Build and document the reference architecture for cluster provisioning, multi-cluster management, networking, identity, secrets, storage and upgrades.
  • Evolve the AWS foundation with governance, identity, networking and DNS.
  • Establish on-call rotation, SLOs, incident response, and observability.

Skills

AWS
Kubernetes
Python
Infrastructure as Code
CI/CD
GitOps
Helm
Rancher
AWS CDK
Argo CD
Kustomize

Education

AWS certification (Professional or Specialty)

Tools

AWS CDK
Rancher
GitHub Actions
Argo CD
Kustomize

Job description

Slate is seeking a Staff DevOps Engineer to set the technical direction for building, running and operating our infrastructure. This hands-on role blends architecture, code, and on-call responsibilities, reporting to the DevOps team lead.

You will design a hybrid Kubernetes platform spanning Amazon EKS and self-managed clusters, evolve the AWS foundation, and build a reliable, scalable platform used by manufacturing, data, and enterprise teams.

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