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Key facts
Job Title

Software Engineer (Site Reliability)

Role type

Permanent

Start date

Remote friendly

Yes

Location

Japan

Salary

¥6000000 - ¥12000000 per annum ¥

Key Responsibilities

Platform Reliability

  • Own and improve the reliability of a large-scale cloud platform operating across multiple regions.
  • Define and manage SLIs/SLOs, production readiness reviews, and reliability standards.
  • Scale infrastructure and databases to support rapid user growth and global expansion.
  • Drive improvements in service availability, incident response, and operational excellence.

Observability & Incident Management

  • Build and maintain observability frameworks, including monitoring, distributed tracing, and logging.
  • Lead incident response, root cause analysis, and post-incident reviews.
  • Participate in on-call rotations and reduce operational burden through automation and AI-powered solutions.

Developer Experience & Platform Enablement

  • Enhance CI/CD pipelines, deployment workflows, and developer tooling.
  • Build self-service platforms and automation that improve engineering velocity.
  • Leverage AI and LLM-based technologies to optimize development and operational workflows.
  • Improve onboarding, development environments, and overall engineering productivity.

Cross-Functional Leadership

  • Partner with engineering, product, and operations teams across multiple regions and time zones.
  • Align reliability initiatives with business objectives and customer experience goals.
  • Influence engineering best practices and help establish a strong reliability culture across the organization.

Requirements

  • Strong experience operating cloud-native production environments, ideally with GCP or AWS and Kubernetes.
  • Proven SRE, DevOps, or Platform Engineering experience supporting large-scale systems.
  • Experience with observability platforms, incident management, and reliability metrics (SLIs/SLOs).
  • Solid understanding of databases, distributed systems, and modern web architectures.
  • Experience improving developer productivity through tooling, automation, or platform engineering initiatives.
  • Hands-on exposure to AI/LLM technologies for engineering workflows is highly desirable.
  • Strong communication skills and ability to work in cross-functional, international environments.
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