Platform Engineer

Role overview Build and operate the infrastructure behind a platform designed to run across public cloud, customer environments, and on-premises installations. The hands-on work covers Kubernetes, deployment automation, infrastructure as code, observability, and backend services, with a focus on reliable machine learning inference and a good developer experience. The role also participates in customer support and an on-call rotation.

Responsibilities - Maintain infrastructure as code for Kubernetes clusters on AWS and Google Cloud, as well as on-premises and air-gapped deployments. - Own and improve CI/CD pipelines and GitOps practices. - Deploy, scale, and tune machine learning and language model inference workloads, including GPU scheduling. - Build and maintain monitoring and telemetry using tools such as Prometheus, Grafana, Datadog, and OpenTelemetry. - Work with field engineering on proofs of concept and customer deployments in cloud and on-premises environments. - Contribute to backend services and platform capabilities, and improve reliability, scalability, and engineering workflows.

Requirements - At least two years in platform engineering, DevOps, site reliability, or backend infrastructure work. - Practical Kubernetes experience covering deployment, troubleshooting, and scaling. - Experience with infrastructure-as-code tools such as Terraform, Helm, or Pulumi. - Experience with at least one major cloud provider; AWS is preferred, with Google Cloud or Azure also relevant. - Proficiency in Go, Python, or Java, and readiness to contribute to backend code. - Familiarity with CI/CD systems and solid Linux, networking, and distributed systems fundamentals.

Nice to have Experience operating ML inference or GPU workloads; messaging systems or data stores; GitOps; on-premises or air-gapped Kubernetes; observability tools; enterprise infrastructure support; or AI-assisted development workflows.

Benefits and work setup Applicants across the United States are supported; candidates able to work from the Palo Alto office two or three days weekly are preferred. Benefits include employee-paid medical, dental, and vision coverage, HSA or FSA options, paid leave and holidays, and professional development. Full-time employees may also receive an ownership stake.