Description
As a Staff Software Engineer, you will shape the backbone of our GPU-driven data centers,powering some of the most advanced workloads in AI and large-scale computing. This isn't just about keeping the lights on; it's about architecting the next generation of reliable, secure, and massively scalable infrastructure.
The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components,including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms.
Your responsibilities will include:
- Providing technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability.
- Building and enhancing infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies.
- Driving strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient.
- Defining best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration,while mentoring engineers to follow your lead.
- Partnering with hardware, software, and operations teams to align infrastructure with business impact.
- Contributing to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership.
- Leading and improving CI/CD pipelines for hardware compliance, firmware management, and data systems.
- Championing reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.
We're looking for someone with a strong background in software engineering, particularly in infrastructure, cloud engineering, and distributed databases. You should have experience with Go and a proven track record of building REST/gRPC APIs for mission-critical platforms. Additionally, you should be familiar with architecting and scaling cloud-native Kubernetes infrastructure and distributed services.