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软件工程师评分卡™ – 给自己或空缺职位评分

Software Engineer Scorecard™ - Rate Yourself or An Open Position

The free Software Engineer Scorecard™ permits a quick self-evaluation of your knowledge in all main software and programming engineering domains. By distributing a given number of points, proportional to your  experience and know-how among these domains, it visually identifies areas of strength and specialties to your target role. By understanding where you stand, you can pursue targeted learning or close skill gaps if judged so. From an HR perspective, it helps in a 工作 description to build the profile of a software engineering open position.

软件工程师评分卡™ 

工作原理: the goal this Software Engineer Scorecard™ is to perform a self-evaluation, or help on a job description (job-desk) of an open job position. You have a certain amount of “points”, representing experience, know-how, and knowledge to distribute on an interactive graph among 18 main software engineering domains. 有些专业领域存在部分重叠(例如:DevOps 和 API,或者 Web 开发和 网络安全并被要求选择一个偏好的领域。商业领域因此不考虑软技能。

The maximal score for each domain is 20. This 20 must be considered as achievable for a good expert in that domain after many years. It should not be considered as the exception, not the Steve Wozniak nor Linus Torvalds. Neither the score you never give because “you can always progress” (despite we agree of course).

不要把所有人都平均分配到10分或接近10分;没有人是瑞士人。 刀.

“0 或接近 0 都没问题。你并非不擅长某件事,而是专精于其他方面。”

As one always has “not enough points because I am a special case”, it obliges to focus on one’s few core domains. It also forces to evaluate how a specialty diploma rates versus many years of experience in that domain (ex.: a PMP official certification vs many years as Project Manager). The key software engineering domains proposed are:

  • Frontend Development & 用户体验: designing and implementing the user interfaces that users interact with directly in web or mobile applications. Enhancing user satisfaction by improving the 可用性, accessibility, and targeted communication of software products.
  • Backend Development: building and maintaining server-side logic, databases, and application programming interfaces (APIs).
  • DevOps: integrating development and operations to automate software delivery, infrastructure management, and monitoring. Automating the building, testing, and deployment of software.
  • Data & Database Management: designing, implementing, and optimizing data storage solutions using SQL and NoSQL databases. Building pipelines and tools to collect, process, store, and analyze large-scale data.
  • Cloud Computing: leveraging cloud platforms and services like AWS, Azure, or GCP to deploy and scale applications.
  • Mobile Development: Creating applications specifically for mobile devices on platforms like iOS and Android.
  • Embedded Systems: developing software for specialized hardware devices with constrained resources and hardware.
  • Security & Cybersecurity Engineering: ensuring the application is secure through robust authentication, authorization, and vulnerability mitigation. intrusion testing, 红队演练 …
  • Performance Optimization: analyzing and enhancing software to ensure efficient speed, memory usage, and scalability.
  • API deployment, Integration & Microservices: designing modular, loosely-coupled services and defining interfaces for communication between them. Connecting and consuming third-party or internal APIs to extend software capabilities.
  • Software Architecture: laying out high-level structures and patterns that shape the system’s organization and maintainability.
  • Algorithm Design: developing efficient algorithms to solve complex computing problems.
  • Machine Learning & AI: developing intelligent algorithms and incorporating learning models to automate or enhance software functionalities.
  • Interactive, Multimedia or Game Development: creating engaging, interactive, multimedia, and high-performance digital games using specialized engines and frameworks.
  • Web Development: building and maintaining websites and web applications using modern frameworks and technologies.
  • System Administration: managing and configuring the infrastructure and operating systems underlying applications.
  • Version Control, Testing, Technical Documentation & QA: tracking and managing changes to codebases. Systematically testing software to ensure quality, reliability, and performance standards. Writing clear, accurate, and comprehensive documentation for software systems, APIs, and architectural decisions.
  • Project & Product Management: planning, executing, and overseeing development projects to deliver software that meets business requirements.

软件工程师评分卡™

多年经验 建议总分

0(学校/大学)

1-5
6-15
16+

画出你的记分卡

根据体验的不同,积分总数可由您或您的组织更改,但我们建议采用以下基本标准:

  1. 点击右侧与您的工作年限相关的总积分。 或者,您也可以输入自定义值。 下方灰色单元格。
  2. 移动滑块以分配分数
  3. 根据需要左右移动所有红线,以分配点数。 将鼠标悬停在任何主题标题上即可查看更详细的信息。
  4. 保存您自己的快照 记分卡 完成后。

软件工程师评分卡™

经验、技巧和知识总和:     Remaining to distribute: 0

涵盖的主题: Software Engineer Scorecard™, self-evaluation, software engineering domains, points distribution, interactive graph, frontend development, backend development, DevOps, data management, cloud computing, mobile development, cybersecurity engineering, performance optimization, API integration, software architecture, algorithm design, machine learning, and project management..

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