Home » Software Engineer Scorecard™ – Rate Yourself or An Open Position

Software Engineer Scorecard™ – Rate Yourself or An Open Position

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 job description to build the profile of a software engineering open position.

Software Engineer Scorecard™ 

How it works: 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. Some specialties overlap partially (ex: DevOps and APIs, or Web Dev and Cybersecurity) and oblige to chose a preferred domain. The commercial sector so as the soft skills are not taken into account.

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).

Refrain to put all as even or close to 10 as being average; no-one is a Swiss knife.

“At 0 or close to is no problem. You are not bad at something, but specialized at something else.”

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 & UX: designing and implementing the user interfaces that users interact with directly in web or mobile applications. Enhancing user satisfaction by improving the usability, 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, Red Teaming
  • 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.

Software Engineer Scorecard™

Years of Experience Recommended total points

0 (school/univ.)

1-5
6-15
16+

Draw Your Scorecard

The total quantity of points, depending on the experience, can be changed by you or your organisation, but we suggest the following baseline:

  1. Click on the right the total points related to your years of experience. Alternatively, you can enter a custom value in the grey cell bellow.
  2. Move bar to distribute the points
  3. Move left or right all red lines as desired to distribute the points. Mouse-hover on any topic title to have more detailed information.
  4. Save a snapshot of your own scorecard when finished.

Software Engineer Scorecard™

Total experience, know-how and knowledge points:     Remaining to distribute: 0

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

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