Backend Software Engineer (DBA) - Cloud Infrastructure

2. Reliability: Troubleshooting and locating the technical issues, bottleneck analysis, managing system high availability architecture transformation and upgrading.
3. Efficiency: Building automated operation solutions for large-scale systems; partnering with system development teams for system iteration.
4. Efficiency: Designing and implementing software platforms and monitoring frameworks for efficient, automated, and intelligent service-oriented architecture (SOA) governance.
5. Cost: There are millions of CPUs. We should build delivery standards, and monitor and budget systems to optimize the cost of the company.
6. Compliance: Designing and setting up new IDC; designing and implementing a data protection plan to meet the standard requirement.

Responsibilities

• Manage day-to-day operations, such as monitoring, backup, performance tuning, and failure handling of database systems;
• Participate in schema design, implementation, and data migration over a large MongoDB sharded cluster;
• Build end-to-end solutions over MongoDB infrastructure, with a focus on performance, high availability, and growth needs of our customers;
• Create tools and automation to improve database administration and management efficiency;
• Responsible for database middleware testing, maintenance, and management;
• Participate in regular on-call duties.

Qualifications

Minimum Qualifications

• Bachelor's / Master's Degree in Computer Science or related major, with at least 2 years of relevant experience;
• Solid basic knowledge of computer software, understanding of Linux operating system, storage, network IO and other related principles.
• Familiar with one or more programming languages, such as Python, Go, and Java. Knowledge of design patterns and coding principles is necessary.

Preferred Qualifications:

1. Experience with storage, and relevant system experience with the following: KV, Table, Graph, Redis, MySQL, MongoDB, MQ, and Kafka.
2. Experience with computing & big data, and system experience with the following: Kubernetes, Docker/Containers, AIops, Spark, Flink, Function as a service, RPC Framework, and Service Mesh.