Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform. Production platform engineering experience: Six or more years of platform or infrastructure engineering experience supporting production SaaS.
Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway.
Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments.
Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices.
Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability.
Customer-controlled deployment experience: Experience shipping a product that customers run in their own environment, including in a VPC, a self-hosted environment…
Strong software engineering depth: Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript…
Cloud and infrastructure expertise: Deep experience in at least one cloud and comfort working in a second, including private networking, KMS, IAM, Kubernetes…
Reliability and observability ownership: Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry, Prometheus, or Datadog.
Experience: Mid-level
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