Senior Software Engineer - Cloud Platform

Shadeform Inc.
Charlotte, NC, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Debugging Programming Tools Kernel-Based Virtual Machine Next.js Virtualization Technology AI Infrastructure Cloud Platform System Multi-Cloud Backend
+3 more
Kubernetes Hardware Infrastructure Golang

Job description

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.

Requirements

  • 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
  • Kubernetes
  • Virtualization technologies such as KVM and Kubevirt, * Remote in a US timezone; US preferred; cannot sponsor visas at this time

About the company

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.

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