Senior OS & Kubernetes Systems Engineer – GPU Infra

The Consensus

New York (NY)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation with equity
100% medical, dental, and vision insurance
Flexible PTO policy
Paid parental leave
Fertility and family-building stipend
Company-facilitated 401(k)

Job summary

The Consensus is seeking an OS / K8s Systems Engineer in New York to build automation systems that turn raw GPU hardware into production-ready compute. You will manage cluster bring-up, design OS images, and ensure reproducibility across data centers.

The ideal candidate should have experience with automated infrastructure, strong programming skills in languages like Python or Go, and familiarity with Kubernetes and Linux systems. Competitive benefits include medical insurance and flexible PTO.

Qualifications

  • Experience building and operating automated infrastructure systems.
  • Strong programming skills in Python, Go, or similar languages.
  • Deep familiarity with Linux systems including boot processes and performance.
  • Experience with provisioning systems and Kubernetes.
  • Strong debugging skills across hardware, OS, and network layers.

Responsibilities

  • Own the automation of cluster bring-up and lifecycle management.
  • Build and maintain OS images and provisioning systems.
  • Deploy and operate cluster orchestration platforms.
  • Design systems for reproducibility across sites and generations.
  • Automate upgrades, rollouts, and failure recovery.
  • Optimize system performance and GPU utilization.

Skills

Automated infrastructure systems
Programming skills (Python, Go)
Linux systems
Kubernetes
Debugging across system layers
GPU or high-performance workloads

Job description

The Consensus is seeking an OS / K8s Systems Engineer in New York to build automation systems that turn raw GPU hardware into production-ready compute. You will manage cluster bring-up, design OS images, and ensure reproducibility across data centers.

The ideal candidate should have experience with automated infrastructure, strong programming skills in languages like Python or Go, and familiarity with Kubernetes and Linux systems. Competitive benefits include medical insurance and flexible PTO.

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