SoftwareEngineer,SiteReliabilityEngineer

ABOUT THE ROLE As a Site Reliability Engineer, you will apply software engineering to improve the reliability, scalability, security, and operability of FuriosaAI’s production infrastructure and customer-facing services. You will work across baremetal Kubernetes clusters, cloud control planes, networking, observability systems, deployment pipelines, and API services running on Furiosa NPUs. We are looking for an engineer who can reason about production systems end-to-end, identify reliability risks across service and infrastructure boundaries, build the observability foundation required to understand them, and drive improvements through code, configuration, automation, and architectural changes. In this role, your mission is defined by three primary pillars: - Reliability Architecture: Improve production systems so failures are isolated, degraded gracefully, detected quickly, and recovered safely. - Observability & SLOs: Build the metrics, logs, traces, dashboards, alerts, and service-level indicators required to understand user-facing reliability. - Production Engineering: Reduce operational toil through automation, self-service workflows, safer rollouts, and hands-on engineering contributions. RESPONSIBILITIES - Define and evolve reliability goals for production systems through SLIs, SLOs, error budgets, and meaningful operational metrics. - Design and build observability foundations that make system behavior, user impact, performance bottlenecks, and failure modes measurable and actionable. - Analyze production systems end-to-end, identify reliability risks across software, infrastructure, and networking boundaries, and drive architectural improvements. - Improve change safety and failure recovery through better rollout strategies, capacity planning, load validation, graceful degradation, and incident learning loops. - Reduce operational toil by building automation, internal tooling, and self-service workflows that make production systems easier to operate and ha