About this job
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.
