FuriosaAI

1 month ago

Software Engineer, Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Site Reliability Engineer role focused on applying software engineering to improve FuriosaAI’s production infrastructure reliability, scalability, and security. You’ll work across baremetal Kubernetes, cloud control planes, networking, observability systems, and deployment pipelines to reduce toil, implement SLOs, and build self-service tooling.

Location: Seoul

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key 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 harder to misuse.

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
•Strong programming skills in 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.

Experience:CloudKubernetesObservabilityDistributed systemsSRE

Education:Bachelor's

Skills:CommunicationProblem-solving

Tech Stack:RustPythonGoKubernetesCloudContainersObservabilityMonitoringSLOsSLIsAutomation

Company Brief

FuriosaAI

Designs and develops data‑center AI inference accelerators (RNGD) and a full stack hardware‑software platform to deliver energy‑efficient, high‑performance AI compute for enterprise and cloud customers.

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: Seoul, South Korea

Founded: 2017

Glassdoor: 4.6

Website LinkedIn Glassdoor

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FuriosaAI

1 month ago

Software Engineer, Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key 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 harder to misuse.

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
•Strong programming skills in 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.

Experience:CloudKubernetesObservabilityDistributed systemsSRE

Education:Bachelor's

Skills:CommunicationProblem-solving

Tech Stack:RustPythonGoKubernetesCloudContainersObservabilityMonitoringSLOsSLIsAutomation

Company Brief

FuriosaAI

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: Seoul, South Korea

Founded: 2017

Glassdoor: 4.6

Website LinkedIn Glassdoor