DevOps Engineer

Responsibilities 1 :

• Design of the SLI/SLOs: Define appropriate Service Level Indicators and Objectives for target services in collaboration with product and development teams, and continuously review them based on user
• Reliability & Availability Design: System Capacity Planning: Design systems for failure with redundancy, failover, backup/restore, and DR/BCP strategies, ensuring data integrity and recoverability for point/coupon transactions
• System Capacity Planning: Forecast future resource demand based on traffic trends and business growth, and plan compute/storage/network capacity to ensure both reliability and cost efficiency (FinOps)
• Server infra / CI/CD pipeline construction: Design and build server infrastructure and CI/CD pipelines using IaC, enabling safe, fast, and repeatable delivery
• Operations in the Production environment: Operate production systems including release management, configuration changes, and routine maintenance while minimizing user impact, and maintain runbooks/playbooks for consistent operations
• Incident management & On-call: Participate in the on-call rotation, respond to production incidents with clear escalation, and act as incident coordinator when needed.
• Production trouble shooting and postmotem: Respond to production incidents, lead root-cause analysis, and drive blameless postmortems to prevent recurrence and improve reliability
• Security & Compliance: Drive vulnerability response, security patching, secret management, and access control in cooperation with security teams, and support audit requirements for a service handling monetary value.
• Toil reduction & Developer enablement: Reduce operational toil and provide reliability guidance, golden paths, and self-service tooling to development teams to lower their cognitive load
• AI & Automation: Identify and automate repetitive development lifecycle tasks using automation scripts and AI agents

Required Skills 1 :

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
• 8+ years of hands-on experience in SRE, DevOps, or infrastructure engineering
• 5+ years of hands-on experience in Kubernetes (design, deployment, scaling, and maintenance)
• 5+ years of hands-on experience in production system operations on Linux OS (release, server configuration change, database operations and security patching)
• Strong experience designing the server infrastructure environment from scratch, with considering the network efficiency and the machine capacity
• Strong experience with networking fundamentals for large-scale web/app services (DNS, CDN, load balancing, TLS, firewalls etc.)
• Strong experience designing and maintaining CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, etc.) and system monitoring environments (Prometheus, Grafana, ELK Stack, OpenTelemetry etc.)
• Proficiency in IaC (= Infrastructure as a Code) tools (Terraform, Pulumi, or similar)
• Proficiency in deploying and operating services on public cloud (GCP, AWS, Azure etc.)
• Proficiency in scripting/automation (Python, Shell, or similar) for operational tooling
• Proficiency in AI-agentic coding/operation (GitHub Copilot, Claude Code, Codex etc.)
• Enough knowledge about computer architecture, network configuration and information security
• Strong communication, technical writing and stakeholder involvement skills to lead a project to its success
• Mindset to proactively improve the status quo to make the team better

Desired Skills 1 :

• Experience operating databases and stateful middleware in production (RDBMS/NoSQL, cache, message queue), including scaling, backup/restore, and data consistency
• Enough knowledge about the recent engineering management topics (Team Topologies, DORA metrics and Value Stream Mapping)
• Experience in a company/organization which deals with a large-scale user-facing services (>= 100K users)
• Experience as an application engineer, with appreciation for the full software delivery lifecycle
• Experience in communication tools used in large scale companies (Slack, MS Teams, Confluence, JIRA)
• Experience operating data platform tools (Apache Airflow etc.)
• Familiarity with Platform Engineering concepts: IDP design, golden paths, cognitive load reduction
• Japanese language skills (Nice to have)

Language Skills 1 :

• Japanese : None
• English : Business level (ex: TOEIC 800 or higher)