1 час назад
Kubernetes Operator Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Kubernetes Operator Engineer (AI) (Kubernetes/Go/Rust): Building and operating the control plane and Kubernetes operator that deploys Rerun Hub across cloud infrastructure and customer accounts with an accent on CRDs, controllers, reconciliation, APIs, and customer onboarding. Focus on extending reconcilers for networking, IAM, storage, and cluster configuration, while building observability, CI/CD, incident response, and reliable production deployments.
Location: Remote; East Coast, United States. Synchronous work is expected between 1:30–5:00pm CET.
Company
is building a multimodal data stack and Hub, a catalog and storage engine for robot training data and physical AI.
What you will do
- Own the Kubernetes operator and control plane for provisioning, configuring, and managing Hub deployments.
- Design and maintain CRDs, controllers, reconciliation logic, APIs, tests, and releases.
- Extend the control plane to support customer infrastructure requirements across networking, IAM, storage, and cluster configuration.
- Improve production reliability through observability, CI/CD, incident response, and deployment workflows from local development through production.
- Participate in follow-the-sun on-call rotations and work directly with customers during cloud onboarding.
Requirements
- Strong software engineering background with deep Kubernetes operator experience.
- Production experience designing CRDs and shipping controllers using controller-runtime, Kubebuilder, or Operator SDK.
- Proficiency in Go and ability to read and contribute to an asynchronous Rust codebase.
- Experience with AWS, infrastructure as code such as Terraform or OpenTofu, and production-grade observability.
- Strong English communication skills and willingness to work synchronously during the specified CET overlap.
Nice to have
- Experience with high-throughput, time-series, or analytical database systems.
- Background in data-intensive infrastructure.
- Interest in robotics, AR/VR, machine learning, or simulation.
Culture & Benefits
- Remote work with a team distributed across European and US-East time zones.
- In-person team meetups for approximately one week each quarter.
- Broad ownership, agency, helpfulness, and responsibility for shipped software.
- Competitive cash and equity compensation.
- Six weeks of paid vacation plus the hardware and software needed for the role.
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