Staff Software Engineer (MetalDev)

As a Staff Software Engineer within our Compute Architecture organization, you will help build the software systems that operate the backbone of our large-scale GPU data centers

The METALDEV team builds Go-based distributed services that bring new infrastructure online, manage hardware lifecycle workflows, monitor production health, and automate safe operations across fleets of GPU servers and rack-scale systems

This is a software-first role at the intersection of distributed systems, production reliability, and hardware-aware automation, where your work directly improves the reliability, safety, and scalability of real-world infrastructure.\

Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data center infrastructure

Build automation for data center bring-up, hardware discovery, health monitoring, remediation, and production operations

Develop reliable APIs, services, and workflows for managing BMCs, firmware state, server health, and rack-level infrastructure

Improve observability, alerting, and operational tooling so production issues can be detected, understood, and resolved quickly

Translate incidents and hardware failure modes into software improvements that make the platform more resilient

Partner with hardware-adjacent, infrastructure, operations, and software teams to design systems that work safely at fleet scale

Provide technical leadership through design reviews, code reviews, architectural guidance, and mentorship

Make pragmatic architecture decisions that balance reliability, simplicity, scalability, and operational burden- Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement

B.S., M.S., or PhD in Computer Science or related field, or equivalent experience

8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments

Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms

Excellent communicator able to work effectively with both technical and non-technical stakeholders

Track record of leading incident response, postmortems, and driving robust service reliability

Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams

Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers

Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services

Experience contributing to and collaborating with open source communities

Working knowledge of Kafka, ClickHouse and CRDB

DMTF, RedFish APIs, and GPU servers