Power AI workloads with AMD Instinct™ GPUs. Scale models faster with high-performance, dedicated cloud compute.
About the role
We are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment spans compute, storage, networking, Kubernetes, and internal platform services. We are developing a growing ecosystem of internal tooling and services—including messaging systems, automation platforms, and control-plane integrations—that tie our infrastructure together.
What they're looking for
- 5+ years of experience in software engineering, DevOps development, or platform engineering
- Go and/or Python
- Rust is a strong plus
- services
- system integrations
- Linux systems
More about this role
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
We are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment spans compute, storage, networking, Kubernetes, and internal platform services.
We are developing a growing ecosystem of internal tooling and services—including messaging systems, automation platforms, and control-plane integrations—that tie our infrastructure together.
We are looking for a DevOps Software Engineer to build and maintain the software layer that connects our infrastructure systems . This role focuses on developing integrations, services, and tooling that enable automation, orchestration, and communication across platforms.
This is not a traditional application development role. You will work directly with infrastructure systems and DevOps engineers to build reliable, production-grade platform...
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