Full-Time

Cloud Services Engineer

Confirmed live in the last 24 hours

Modular

Modular

51-200 employees

Unified AI frameworks and hardware platform

AI & Machine Learning

Mid

Remote in USA + 1 more

Required Skills
Kubernetes
Microsoft Azure
Java
Docker
AWS
Linux/Unix
Google Cloud Platform
Requirements
  • 3+ years of experience developing large scale cloud platforms, services, and infrastructure.
  • Strongly proficient in services development with C++, Java, or Go.
  • Experience with API design and development.
  • Working knowledge of at least one major cloud environment (AWS, Azure, or GCP).
  • Experience working with Linux, Docker, and preferably with K8s.
  • Experience using open source software components in production.
  • Devotion to quality and engineering excellence.
  • Strong written and verbal communication skills.
  • Strongly identifies with the core company cultural values.
Responsibilities
  • Design and implement APIs and services for product delivery in various cloud environments and compute hardware types.
  • Design and improve infrastructure capabilities for services like dynamic provisioning, load balancing, security scanning, observability, and supply chain controls.
  • Understand specific needs in the AI/ML space and enhance services to meet user expectations.
  • Collaborate with product, AI framework teams, and design partners to inform requirements for cloud services.

The company offers a next-generation AI developer platform that unifies AI frameworks and hardware, providing unparalleled performance and cost savings. The platform includes a new programming language, Mojo, and a modular engine that enables model deployment, compute portability, and scalability, revolutionizing AI infrastructure.

Company Stage

Series A

Total Funding

$130M

Headquarters

,

Founded

2022

Growth & Insights
Headcount

6 month growth

8%

1 year growth

19%

2 year growth

547%