9 дней назад
Senior Kubernetes Control Plane Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Kubernetes Control Plane Engineer (Kubernetes/Go): Designing and scaling Kubernetes control plane architectures for AI cloud infrastructure with an accent on fleet-wide automation, distributed state management, and secure multi-tenancy. Focus on developing Operators and CRDs, optimizing etcd, enabling zero-downtime upgrades and multi-cluster federation, and integrating control planes with GPU orchestration layers.
Location: Singapore, SG
Company
provides Bitcoin mining solutions, ASIC hardware, datacenter infrastructure, and AI cloud capabilities across a global portfolio of computing and energy assets.
What you will do
- Design and implement scalable Kubernetes control plane architectures using Cluster API for fleet-wide automation.
- Develop Kubernetes Operators and Custom Resource Definitions to manage infrastructure lifecycles and orchestration.
- Optimize etcd and distributed state management across cloud regions.
- Implement API-server-level multi-tenant isolation and architect zero-downtime upgrades and multi-cluster federation.
- Integrate the control plane with AI scheduling and GPU orchestration layers.
- Lead design reviews, mentor engineers, and identify control plane failure modes before they affect customer training and inference workloads.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 8+ years of software engineering experience with deep hands-on expertise in Go.
- Extensive experience contributing to or extending the Kubernetes ecosystem, including Operators, API Server, etcd, or Cluster API.
- Experience operating, debugging, and scaling large distributed systems in production.
- Strong understanding of multi-tenancy, cluster federation, API governance, infrastructure automation, and managed cloud services.
- Strong technical leadership and communication skills for driving architecture decisions and cross-functional execution.
Nice to have
- Experience in high-velocity, high-growth engineering environments.
Culture & Benefits
- Inclusive environment that values authenticity and diverse perspectives.
- Startup-oriented atmosphere within a fast-growing company.
- Opportunities to contribute to digital asset and AI infrastructure projects.
- Autonomy, personal accountability, and opportunities for growth and learning.
- Training, mentoring, welfare benefits, and developmental opportunities.
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