1. Proficient in Java and Go, and experienced with Python; has good coding
standards and programming habits.
2. Proficient in using web servers such as Tomcat and Jetty, and familiar with their
related configurations.
3. Proficient in operating databases such as MySQL, MongoDB, Redis, ElasticSearch, Neo4j.
4. Proficient in Spring, Spring MVC, Spring Boot, Spring Cloud, MyBatis /
MyBatis-Plus, DDD, with practical experience in encapsulating business with DDD
and leading the adoption of DDD in multiple large projects.
5. Proficient in using Gradle, Maven, Nexus for project management.
6. Familiar with deploying microservices on Linux, and with common commands for
Docker, Kubernetes (K8s), Nginx.
7. Proficient in using tools such as Git, SourceTree, Eclipse, IntelliJ IDEA, Xshell, FinalShell, Sonar, Jenkins, Offset Explorer, RDM, MongoBooster, Kubeadm, Kibana, JMeter, etc.
8. Proficient in using service registries such as Nacos, Eureka.
9. Proficient in message middleware technologies such as RocketMQ, Kafka, Pulsar.
10. Familiar with Prometheus, SkyWalking, XXL-Job, ZooKeeper, Dubbo, Solr-Cloud, ShardingSphere and other related technologies.
11. Familiar with cloud storage and file system solutions such as COS, OSS, MinIO.
12. Familiar with communication protocols and frameworks such as Socket.IO, WebSocket, MINA, etc.
13. Familiar with mainstream big data technologies and solutions such as Flink, Flink-CDC, Canal, Kettle, Hadoop, Flume, ClickHouse, Hudi, Sqoop, HBase.
14. Highly proficient in Flink-CDC, and skilled at planning technical solutions and
breaking down tasks into fine-grained items for 0-to-1 projects.
15. Led the 0-to-1 implementation of a production-level Prometheus + Grafana
monitoring and alerting system integrated with business needs.
16. Has extensive experience in microservice architecture design and development.
17. Has a holistic DevOps mindset and hands-on experience with parts of the
DevOps technology stack.
18. Experienced in developing RAG (Retrieval-Augmented Generation) systems for
domain-specific question answering.
19. Experienced in model fine-tuning and LLM inference acceleration.
20. Contributor to top AI projects such as PyTorch, vLLM, DeepSpeed, Transformers, Ray, with a main focus on making more core contributions to PyTorch and vLLM.
