Senior Software Engineer - Cloud Platform

Shadeform; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Shadeform is looking for an engineer to build and maintain the GPU platform and associated AI infrastructure services. You will work on novel GPU provisioning, orchestration, and virtualization across cloud environments in a small, high-impact team.

Preferred experience includes Kubernetes operations, public cloud platforms, and building managed services with robust APIs for technical customers.

Qualifications

• Operating and debugging with Kubernetes.
• Building and maintaining public facing cloud platforms and managing instance lifecycle.
• Building managed services and public APIs utilized by technical customers.
• General backend and infrastructure development.

Responsibilities

• Own the Shadeform GPU platform provisioning and orchestration tasks.
• Manage multi-cloud infrastructure and customer-facing services.
• Contribute to virtualization and AI infra tooling as part of a small, high-impact team.

Tools

Kubernetes

Public cloud platforms (AWS/GCP)

KVM

Kubevirt

Golang

Next.js

Job description

Help us build the GPU cloud marketplace powering the next generation of AI. We're a small, high-impact team working on hard infrastructure problems.

Location

Employment Type

Full time

Location Type

Remote

Department

About Shadeform

Shadeform provides a unified platform for deploying and managing GPU infrastructure across cloud providers, neoclouds, and data centers. Our platform gives startups, inference providers, and enterprises a consistent way to access and operate GPU capacity through a single API and service layer.

About the Role

As a member of the Shadeform engineering team, your core responsibilities will be building and maintaining the Shadeform GPU platform and building out automated AI infrastructure services. Because of Shadeform's unique position in the market, you will work on novel solutions to some of the biggest challenges in the GPU market. This role includes GPU provisioning, orchestration, virtualization, managing customer-facing infrastructure services, and building in multi cloud environments. You will own the systems that turn fragmented GPU capacity into a reliable, production-ready platform. You will have opportunities to test out bleeding edge GPU infrastructure and utilize the latest AI dev tools.

Preferred Experience

Operating and debugging with Kubernetes

Building and maintaining public facing cloud platforms and managing instance lifecycle

Building managed services and public APIs utilized by technical customers

General backend and infrastructure development

Technical Stack

Golang and Next.js; we expect everyone to be language agnostic

AWS / GCP

Virtualization technologies such as KVM and Kubevirt

Location

Remote in a US timezone; US preferred; cannot sponsor visas at this time