Senior Kubernetes Platform Engineer

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

I’m recruiting for a global investment firm building a large-scale, on-premises compute platform for its research and investment teams.

This is a hands-on role focused on the software control systems behind Kubernetes clusters, bare metal servers and virtualized infrastructure. You’ll help create reliable, reproducible compute environments that people across the business depend on around the clock.

What you’ll do:

• 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 understand their needs and remove infrastructure bottlenecks.
• Contribute to disaster recovery, business continuity, on-call support and planned maintenance.

The environment:

You’ll work with Kubernetes on bare metal, RPM-based Linux, open-source virtualization and an established AI environment with access to open-source and frontier models.

What we’re looking for:

• 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.
• The ability to work effectively with developers, researchers and other stakeholders.

This role would suit someone who wants to build the software that controls infrastructure as well as engineer the underlying compute platform. You’ll have ownership of complex problems across Kubernetes, Linux, virtualization and networking.

If you’ve built large-scale Kubernetes and bare metal environments, I’d be keen to hear from you.