Senior Kubernetes Platform Engineer – On-Prem Infra

Autonomai Recruitment; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Autonomai Recruitment is seeking a hands-on Senior Platform Engineer to build and optimize a large-scale on-prem compute platform for a global investment firm. You will manage Kubernetes on bare metal, Linux systems, and open-source virtualization to deliver reliable compute environments around the clock.

You will work with researchers and developers to scale infrastructure, write automation in Python, and implement disaster recovery and business continuity practices.

Qualifications

• 6+ years of hands-on experience with large-scale compute infrastructure.
• Deep Kubernetes knowledge from both the infrastructure and application perspectives.
• Experience managing bare metal servers at scale.
• Strong Linux engineering skills and the ability to write Python.
• Experience tuning low-latency environments and IP network performance, including routing.
• Practical experience with disaster recovery and business continuity.
• Ability to work effectively with developers, researchers and other stakeholders.

Responsibilities

• Build fault-tolerant distributed systems for research and investment workloads.
• Develop software guardrails that enforce standards and make compute environments reproducible.
• Scale and harden Kubernetes and bare metal infrastructure.
• Write Python to automate and improve the platform.
• Partner with application developers to remove infrastructure bottlenecks.
• Contribute to disaster recovery, business continuity, on-call support and planned maintenance.

Skills

Kubernetes

Linux

Python

Networking

Disaster recovery

Tools

Bare metal servers

Open-source virtualization

Job description

Autonomai Recruitment is seeking a hands-on Senior Platform Engineer to build and optimize a large-scale on-prem compute platform for a global investment firm. You will manage Kubernetes on bare metal, Linux systems, and open-source virtualization to deliver reliable compute environments around the clock.

You will work with researchers and developers to scale infrastructure, write automation in Python, and implement disaster recovery and business continuity practices.