Top Tech Jobs & Startup Jobs in Charlotte, NC

The Staff Infrastructure Engineer will design and implement a scalable virtualization platform for high-performance AI workloads, manage VM lifecycles, optimize virtualization for performance, troubleshoot systems, and contribute to long-term architecture.

As a Staff Database Engineer, you'll design and oversee the architecture, performance, and reliability of database systems, primarily PostgreSQL and MySQL, while also enhancing automation, observability, and incident response efforts.

Design and manage Kubernetes control plane architecture while ensuring platform reliability across regions. Troubleshoot incidents, scale deployments, and collaborate with teams for optimal infrastructure performance.

Owns end-to-end capacity planning for multi-site AMD GPU clusters, maintaining authoritative views of physical, logical, committed, reserved, and sellable capacity. Forecasts demand, contracted growth, renewals, and pipeline; validates deal feasibility; manages buffer and oversubscription policies; and coordinates infrastructure, supply chain, Sales, Finance, and operations decisions. Leads weekly capacity reviews, reporting, process maturity, and tooling requirements for capacity, inventory, and allocation systems.

Operate, maintain, and scale large data-center Ethernet fabrics; respond to incidents and participate in on-call rotation; execute maintenance, upgrades, and hardware replacements; troubleshoot latency, packet loss, and connectivity; and build automation/tooling (Python/Go, Ansible, Git) to streamline operations.

The Senior SRE Engineer will design, build, and maintain resilient infrastructure systems, manage infrastructure-as-code, and write tooling in various languages.

The DevOps Engineer at TensorWave will develop platform integrations, build services and tools for automation, and ensure reliable system performance across multiple infrastructure systems, focusing on production-quality software development.

Design, own, and operate front-end network architecture for large-scale AI/GPU infrastructure including DCI, edge, ingress/egress and control-plane. Architect scalable Ethernet, routing, segmentation, and high-availability designs; lead deployments and troubleshooting in new data centers; maintain reference architectures and carrier relationships; collaborate on Kubernetes-centric network solutions and interface with RDMA back-end fabrics.

Design, provision, and operate AWS infrastructure for AI/HPC workloads across environments. Build and maintain IaC, CI/CD, observability, and scaling patterns. Troubleshoot networking, compute, storage, participate in incident response, document architecture and runbooks, and optimize cost and reliability.