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上海Java兼职程序员

ID：398219

滢小白

全栈软件工程师

公司信息：
Apple

工作经验：
10年

兼职日薪：
500元/8小时

兼职时间：
下班后
可工作日远程

所在区域：
上海
闵行

技术能力

Languages:
C++/C, Python, Java, HTML & CSS, Javascript/Typescript, Swift, SQL

Frameworks/Libraries:
Spring/Spring-boot, Spring Security, REST API, AngularJS, Pytorch

Cloud/Databases:
Kubernetes, Docker, AWS, MySQL, NoSQL, Cassandra, PostgreSQL

Tools:
Splunk, Grafana, Git, Bash/Shell, MapReduce, CI/CD

Courses/Concepts:
Data Structures, Algorithms, OOP, Networking, Operating System, Database, Web development,
Cloud Computing, Parallel and Distributed Systems, Machine Learning, Agile, Scrum, Probability, Linear Programming

项目经验

Apple

1.Indepdendently developed a brand-new web application from scratch, which is currently used by global retail
store clients
2.In charge of both frontend and backend development, as well as creating data ingestion pipeline, architecture
design, performance optimization,CI/CD deployment, system monitoring through dashboard and alerts, etc
3.Communicated with cross-functional teams to get to know their user experience and technically improve it

JD.com

1.Engaged in the promise calculation system development to provide clients with accurate promise for their product
2.Implemented data ingestion pipelines to load data from a variety data sources, both periodically and in real time,
with 10 millions amount of data per minute
3.Optimized the data ingestion logic through a variety strategies, including SQL query optimization, multi-threading,
data caching, queues, rate limiting, etc
4.Containerized and deployed applications using Docker, managed deployment and scaling on JD Cloud platform
In charge of System architecture design and optimization, reducing API latency and improving user experience

Amazon

1.Provide regional shipping capability to Amazon third-party sellers
2.Enhance Seller Experience through shipping intelligence to automatically generate shipping settings for sellers
3.Collaborated with cross-functional teams to align backend integrations with production pipeline requirements as
well as integration testing
4.Enable first-time and regular customers to find new content using all Amazon Music clients
5.Migrate Data Aggregation APIs from server-side Javascript platform to Coral and AWS API Gateway framework