Principal Platform Engineer

• Architect, build, and operate Kubernetes infrastructure supporting thousands of long-running, stateful AI agent workloads.
• Design and implement custom Kubernetes operators and CRDs using tools such as Kubebuilder, Operator SDK, and controller-runtime.
• Own the broader infrastructure platform across cloud infrastructure, observability, networking, storage, and scaling strategy.
• Lead and mentor a small platform engineering team while remaining heavily hands-on technically.
• Partner closely with backend, ML, and research teams to design reliable infrastructure patterns for AI and scientific computing workloads.
• Establish production-grade infrastructure practices around monitoring, alerting, observability, and incident response.
• Drive infrastructure reliability, scalability, and operational excellence across the platform.

This is a highly hands-on leadership role for someone who has deep Kubernetes expertise, enjoys operating with high ownership in startup environments, and wants to build infrastructure that directly enables breakthrough scientific research., * 10+ years of experience in infrastructure or platform engineering with deep hands-on Kubernetes expertise.

• Proven experience architecting and operating Kubernetes platforms for long-running, stateful workloads rather than only stateless services or short-lived inference jobs.
• Strong experience building custom Kubernetes operators and CRDs using Kubebuilder, Operator SDK, controller-runtime, or similar tooling.
• Recent startup or small-team experience with end-to-end ownership of infrastructure platforms.
• Experience leading or mentoring small engineering teams.
• Strong cloud infrastructure experience across AWS, GCP, or Azure, including managed Kubernetes services (EKS/GKE/AKS).
• Familiarity with infrastructure-as-code tooling such as Terraform or Pulumi.
• Experience building observability and monitoring systems using tools like Prometheus, Grafana, Datadog, or similar.
• Background supporting ML infrastructure, scientific computing, or data-intensive platforms is highly valued.
• Strong communication skills and high EQ, with the ability to work cross-functionally with technical and non-technical stakeholders.