DevOps Systems Engineer
TensorWave(2 months ago)
About this role
A DevOps Systems Engineer at TensorWave is responsible for managing enterprise-grade hardware and infrastructure, overseeing datacenter operations, and automating infrastructure components in support of AI compute projects. The role requires expertise in hardware diagnostics, system administration (primarily Linux), and network operations, while also focusing on monitoring and observability using tools like Prometheus and Grafana. Additionally, the engineer will handle container orchestration with Kubernetes and develop automation scripts to improve operational efficiency across multiple data centers.
Required Skills
- DevOps
- Infrastructure Management
- Hardware Management
- System Administration
- Automation
- Scripting
- Networking
- Troubleshooting
- Monitoring
- Datacenter Operations
+12 more
About TensorWave
tensorwave.comTensorWave is a cloud computing platform specializing in artificial intelligence (AI) and high-performance computing (HPC) services powered by AMD Instinct™ GPUs. The company provides a scalable and memory-optimized infrastructure designed to facilitate the deployment and management of demanding AI workloads, including low-latency inference and large language models. With a focus on efficiency and cost-effectiveness, TensorWave's offerings include bare-metal solutions and managed inference services, tailored to meet the needs of enterprises looking to harness the power of next-generation AI technologies.
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