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Java开发工程师英文简历参考「精选篇」

编辑：幻主简历时间：2024-03-28 来源：幻主简历

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Java开发工程师英文简历参考「精选篇」：

一份精心撰写的java英文简历是不可或缺的敲门砖。不仅是java技术能力和项目经验的展示窗口，更是其职业态度和发展潜力的体现，那么java工程师的简历怎么写呢？下面是小编收集整理的教师工作简历范文，希望对大家有所帮助。

Java开发工程师英文简历参考「精选篇」

Job Intention

Desired Position：Java Developer

Education Background

Time: 20xx.9-20xx.6

School Name: Huanzhu Resume University 1

Major: Instructional technology

School Description: College Of Information Technology and Engineering(Bachelor's degree)

Work Experience

Time: 20xx.10-present

Company Name: Huanzhu Resume Company 1

Position: Category Manager

Work content:

Mainly responsible for the development and improvement of the back end of the work order system, mainly the migration and transformation of old services, stability guarantee and performance optimization.
Participate in the development, pressure testing, optimization and maintenance of the client Zuul gateway.
Responsible for the statistics and development of data reporting in each dimension of the classroom monitoring system, and monitoring and analysis of classroom work order data.

Time: 20xx.7-20xx.7

Company Name: Huanzhu Resume Company 2

Position: Java Development Engineer

Work content:

Worked for one year in Inspur Cloud Service Group's E-Government Business Department and worked as a Java Web engineer, mainly responsible for front-end and back-end development of Internet + government service products, including basic service platforms, event management platforms, and administrative approval systems.
Complete the tasks assigned by the project manager to support project implementation.
Support 7 major provincial-level, several prefecture and city government departments to sort out matters, connect data and research and development of administrative approval systems.

Achievements: Excellent completion of the tasks assigned by the leaders, and the Inspur year-end examination was rated S.

Project Experience

Time: 20xx.2-20xx.11

Project Name: Huanzhu Resume Project 1

Role: Project Leader

Project description: The ticket system serves as the main channel for leading students and teachers to obtain online help during the course.

1. When a teacher or student encounters technical problems such as equipment, audio and video, white board, channel, courseware, network, etc., he can seek technical assistance from the head of technical support through a work order.

2. Technical support After receiving the order, establish a chat window with the students and teachers to communicate, and push the nail message to the student parents and corresponding sales. Technical support In the ticket interface, you can easily obtain the basic information of the classroom and the user's platform. You can also monitor and observe the abnormal situation of the class through the supervision and audio and video monitoring platform provided by the third party.

3. Docking big data, analyzing chat messages and front-end buried-point logs, forming abnormal diagnosis results, and feeding back to technical support to help solve problems.

4. After determining the problem, send custom signaling and forward it to the user through the socket server to help students or teachers reset the classroom, switch channels, microphones, cameras, speakers and other devices.

5. After the processing is completed, push the work order data and processing results to the audio and video department and the BI department at the same time.

6. The user confirms, the technical support second follow-up, and the user confirms the process twice. The work order monitoring system also monitors the abnormal situation in the classroom, statistics the data of abnormal students and teachers, and analyzes the real-time work order rate and historical work order rate.

Project responsibilities: Responsible for the development and optimization of back-end functions, including interface design and development, docking with third parties, etc.

Project performance: After optimization, the system business decoupling degree is reduced, and the service stability and overall performance are significantly improved. The delay of the core interface was about 300ms or more. After optimization, most of the interfaces were 99line within 80ms. To 0.01%. The system QPS (about 2000-3000 after improvement), the throughput has also improved a lot, and user feedback is much better than before.

Application technology: SpringMVC + Dubbo system at the beginning, after splitting microservices: Spring Cloud and Spring Cloud Netflix components, MySQL, Tomcat, Redis, RocketMQ, Kafka, XXL-JOB, Sentinel, Swagger, Apollo, Cat, Skywalking , Granfana, ELK, etc.

Time: 20xx.11-20xx.2

Project Name: Huanzhu Resume Project 2

Role: Project Leader

Project description: After the original old service is split into microservices, the back-end microservices are not directly open to the front-end call, so a lightweight API gateway is built, and all back-end microservices belonging to our department are unified on this gateway Then, the front-end traffic is forwarded to the gateway via Nginx, and the gateway then routes to the corresponding microservice according to the requested URL. It mainly implements functions such as identity authentication and security, dynamic routing, monitoring, load balancing, and fault tolerance.

Project responsibilities: led by seniors, I am mainly responsible for developing token verification related filters, routing configuration maintenance and pressure testing, and participating in performance optimization (mainly seniors taught me).

Project performance: Participation is not long, but I have learned a lot of distributed related knowledge.

Application technology: Zuul, JWT, Eureka, Ribbon, Feign, Hystrix, Caffeine, SpringBoot, Tomcat, Apollo, Cat, Granfana, etc.

Familiar skills

1. Familiar with Java language and common technology stacks, familiar with JavaSE, JVM and multi-threading;

2. Familiar with data structure and common algorithms and common design patterns;

3. Familiar with MySQL, understand common SQL tuning techniques, indexing mechanism and principle;

4. Familiar with Spring Cloud and Spring Cloud Netflix common components such as Eureka, Ribbon, Feign, Hystrix, Zuul, etc., familiar with microservice development frameworks such as SpringBoot, Spring, MyBatis;

5. Familiar with some middleware and understand some principles such as Zookeeper, Redis, Kafka, used RocketMq, Apollo, XXL-JOB, Sentinel, ELK, etc .;

6. Familiar with common development tools such as IntelliJ IDEA, Maven, Git, Jenkins, etc., code quality and pressure testing related tools such as Sonar, Gatling;

7. Skilled in using monitoring components such as Vi, Cat, Grafana, Skywalking, etc .;

8. Learn a bit about Docker and Kubernets virtualization technology.

Self-evaluation

I like to study by myself and have strong ability to continue learning; And I am optimistic and easy going.

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