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Database Reliability Engineer

Taiwan

We are looking for

  • A self-driven Database Reliability Engineer with proven experience in managing large-scale database systems in production environments.
  • Have a deep understanding of database architecture, performance optimization, high availability solutions, and database security best practices.
  • Are following the latest industry trends in database technologies and are passionate about building reliable, scalable data infrastructure.
  • Have strong automation mindset and programming skills to build tools that improve database operations and reliability.
  • Understand SLI/SLO/SLA concepts and have experience implementing reliability engineering practices.

Key Responsibilities

  • Work in a team of DBRE and DevOps professionals
  • Design, implement, and maintain highly available database architectures to support business growth across multiple countries
  • Improve existing database infrastructure, including performance tuning, capacity planning, backup/recovery strategies, and disaster recovery procedures
  • Develop automation tools and internal platforms using Go/Python to streamline database operations, reduce manual interventions, and minimize human errors
  • Monitor database health and performance metrics, establish alerting mechanisms based on SLO burn rates, and proactively identify potential issues
  • Take ownership and responsibility for database operations including schema changes, data migrations, and production deployments
  • Collaborate with development teams to provide database design consultation, query optimization, and troubleshooting support
  • Conduct regular database security audits and implement security best practices to protect sensitive data

Our Stack

  • Relational Databases: AWS Aurora MySQL/PostgreSQL
  • NoSQL Databases: MongoDB Atlas, AWS DocumentDB
  • Caching Layer: AWS ElastiCache, Valkey
  • Message Queue: Apache RocketMQ, RabbitMQ
  • Search Engine: ElasticSearch, Mongo Atlas
  • OLAP: Redshift
  • Monitoring & Alerting: Prometheus, Grafana, Loki, Alert Manager
  • Backup & Recovery: AWS Backup, Point-in-Time Recovery, Cross-Region Replication
  • Database Proxy: RDS Proxy
  • Infrastructure as Code: Terraform, Ansible
  • CI/CD Integration: Jenkins, ArgoCD, Github Action, Helm
  • Network & Security: AWS VPC, Security Groups, AWS Secrets Manager
  • Programming Languages: Golang, Python
  • Containerization: Kubernetes

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