퓨리오사AI Software Engineer, Site Reliability Engineer

한 줄 요약

퓨리오사AI Software Engineer, Site Reliability Engineer — 퓨리오사AI · Seoul, South Korea. 현재 상태: 진행·예정.

정보 갱신일 2026-10-21

조건·일정 확인

기관·대학

퓨리오사AI

지역·근무지

Seoul, South Korea

학력

학사 이상

담당 업무

• 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.
• 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 harder to misuse.

지원 자격

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong programming skills in one or more general-purpose languages such as Rust, Python, , or Go.
• Solid understanding of operating systems, computer networks, and cloud-native or container-based environments.
• Ability to analyze technical problems and communicate clearly with engineering teams.

우대 사항

• Experience improving reliability of production systems using SLOs, observability, incident analysis, rollout safety, and error-budget-driven decision making.
• Experience designing or operating distributed systems where failures, overload, latency, and capacity limits must be explicitly managed.
• Experience building automation, internal tooling, or self-service workflows that reduce operational toil and improve engineering productivity.
• Experience working across software, infrastructure, networking, and security boundaries to diagnose problems and drive architectural improvements.
• talent@furiosa.ai

공식 출처와 다음 단계

원천 정보 갱신: 2026. 10. 21. PM 5:06

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관련 정보

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