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# Principal Platform Engineer

- **Company:** Bliss Verna
- **Location:** Us, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Monitoring of Systems, Prometheus, Scientific Computating, AI Infrastructure, Datadog, Pulumi, Grafana, Backend, Kubernetes, Azure AKS, Machine Learning Operations, Virtual Agents, Terraform
- **Published:** May 19, 2026
- **Apply:** https://eu-recruit.com/jobs/principal-platform-engineer/

## About the Role

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.

## Description

* 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.


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