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The employer was active 8 days ago
We are looking for
● Are 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.
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
We are looking for
● Are 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.
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
Taiwan,
990K ~ 2M TWD / year
2 years of experience required
No management responsibility