FluidstackSan Francisco, CALead the network production engineering team responsible for availability, performance, and automation of fabrics supporting 100k+ accelerator clusters at massive scale. Own SLOs, build remediation automation, and set operating models between design and site teams.
Lead the network production engineering team keeping fabrics for 100k+ accelerator clusters healthy. Own network availability and performance SLOs: link health, congestion, and failure response. Build automation for fabric operations: telemetry, anomaly detection, automated drain and repair. Set the operating model between design engineering and site operators so escalations flow clean in both directions.
Convex is seeking a Senior Software Engineer to design, build, and maintain their global cloud infrastructure. This role involves working on core systems, improving performance and reliability, and owning architectural decisions.
Builds infrastructure to monitor, detect, remediate, and verify hardware health across global GPU/CPU clusters at hyperscale. Owns node lifecycle workflows and partners with teams to ensure compute reliability for AI training and inference. Requires 7+ years experience with Python, distributed systems, and operational tooling.
Senior Infrastructure Engineer designs, builds, and operates high-scale, low-latency production systems including networking, data, ML serving, and developer platforms. Requires 5+ years experience, strong SLO/observability skills, and expertise in areas like Kubernetes and multi-cloud.
Build the Site Reliability Engineering function from the ground up at Forward, defining SLOs, building observability infrastructure, leading incident response, and embedding reliability into the SDLC for their complex SaaS platform. Requires 6+ years SRE/DevOps experience, strong networking and Kubernetes skills, and a track record maturing SRE practices.
Leads development of internal AI agent infrastructure ("Goose") to boost velocity across engineering, ops, and other teams. Builds safe, autonomous agent workflows for codebase inspection, testing, and complex tasks with strong focus on safety and accuracy.