Technical Recruiting Cheat Sheet For Recruiters

Finding the right people for tech jobs can be a bit tricky, especially with all the techy terms flying around.

The 2021 Confidence Index indicates that 46% of IT and HR professionals cite insufficient internal tech expertise as their primary obstacle in making informed hiring decisions.

Each job requires a special set of skills. This technical recruiting cheat sheet will help you understand these skills easily.

It’s like having a friend who knows all the shortcuts in a busy city, helping you reach your destination – finding the perfect person for the job.

What is Technical Recruiting Cheat Sheet?

Technical Recruiting Cheat Sheet assists recruiters in understanding the technical terms and quickly identifies the skills a certain job requires in the IT sector.

You no longer have to guess what a job role entails; instead, you have a straightforward guide that tells you exactly what each term means, saving you time and reducing the risk of misunderstandings.

It’s all about making connections more meaningful, conversations more fruitful, and recruitment more successful, without the usual stress and confusion that comes with technical hiring.

How Technical Recruitment Cheat Sheet will help you?

Technical Recruiting Cheat Sheets are essential reference materials for recruiters with non technical background. Here’s why:

• Helps recruiters speak the same language as tech professionals, making conversations smoother.
• Acts as a go-to guide for quickly understanding various technical roles and terms.
• Equips recruiters to make informed decisions by better understanding candidates’ skills.
• Gives recruiters a confidence boost when discussing tech-focused roles and requirements.
• Helps in pinpointing the ideal candidates for specific tech roles more effectively.
• Encourages recruiters to keep learning and adapting in the dynamic tech industry.
• Minimizes the time spent on deciphering complex tech jargon, making the process more efficient.
• Assists in crafting more accurate and attractive job advertisements that resonate with tech professionals.
• Enables recruiters to establish a trusting relationship with clients and candidates by demonstrating tech know-how.

Technical Recruiting Cheat Sheet for Recruiters

Here’s your technical recruiting cheat sheet, packed with straightforward information on the key programming languages, frameworks, and tech roles you’ll stumble upon, each accompanied by simple, clear definitions.

Frontend developer

Front End Developers are the professionals who craft the visual aspects and user experiences of websites and web applications.

They focus on the design, layout, and interactivity of a site, making sure it looks attractive and functions smoothly across various devices and browsers.

Essentially, they transform a web design into a live and interactive website.

Languages Known

• HTML: The backbone for creating web pages, a markup language that structures the content on the page.
• CSS: This styling language is used for designing the layout and appearance of the webpage, ensuring it’s visually attractive.
• JavaScript: A versatile scripting language that enables the development of interactive and dynamic content on websites.

Frameworks

• Bootstrap: A toolkit that assists in developing responsive and mobile-first web pages, ensuring compatibility across devices.
• Angular: Developed by Google, this framework is renowned for facilitating the building of modern and dynamic web applications.
• React: A popular library for constructing user interfaces, it is known for enabling faster and more efficient web development.

Backend developer

Backend Developers are the powerhouse behind the functionality and features of a website or application. They focus on server-side operations, databases, and application logic, essentially ensuring that everything behind the scenes runs smoothly and efficiently. Their role is vital in making sure that the data the front-end displays is processed correctly and securely.

Languages Known:

• Python: A highly popular language known for its simplicity and readability, often used to develop web applications and integrate systems.
• Java: A versatile language that has stood the test of time, used in developing robust and scalable backend infrastructures.
• PHP: A widely-used scripting language, perfect for creating dynamic web pages and applications.
  Ruby: A dynamic, open-source programming language with a focus on simplicity and productivity, often used in web development.

Frameworks:

• Node.js: A runtime environment that allows developers to execute JavaScript on the server side, facilitating non-blocking, event-driven I/O.
• Django: A high-level Python Web framework that encourages rapid development and clean, pragmatic design.
• Ruby on Rails: A server-side web application framework written in Ruby, following the convention over configuration (CoC) principle.
• Laravel: A PHP framework that offers elegant syntax and tools for tasks like routing, authentication, and caching, streamlining the development process.

Full-stack developer

Full-Stack Developers are professionals who work with both the front-end and the back-end of a website or application, essentially bridging the gap between the server-side and the client-side. They have a rich skill set that allows them to create a seamless and dynamic user experience, working on both how the site looks and how it functions.

Languages Known

• JavaScript: This foundational language is vital for creating interactive elements on websites and is used extensively in both front-end and back-end development.
• Python: A versatile language known for its simplicity and readability, it is commonly used in web development, data analysis, artificial intelligence, scientific computing, and more.
• Ruby: A dynamic and object-oriented programming language, praised for its simplicity and productivity.

Frameworks Known

• Node.js: A runtime environment that allows developers to run JavaScript on the server-side, facilitating the creation of scalable network applications.
• Angular: A robust framework developed by Google, renowned for facilitating the development of dynamic and modern web applications.
• React: A JavaScript library known for enabling faster and more efficient development of user interfaces or UI components.

Mobile App Developer

Mobile App Developers are experts who specialize in crafting applications for mobile platforms such as Android and iOS. They focus on creating dynamic and responsive applications that are optimized for mobile devices, ensuring a seamless and interactive user experience.

Languages Known

• Java: A versatile programming language widely used for building Android applications. It’s known for its stability and compatibility.
• Swift: The go-to language for iOS app development, Swift is favored for its speed, safety, and modern syntax.
• Kotlin: A statically typed, cross-platform language that is fully interoperable with Java, often used in Android development for its concise and expressive syntax.

Frameworks Known

• Flutter: A popular open-source UI software development toolkit used to develop applications for Android, iOS, Linux, Mac, Windows, Google Fuchsia, and the web from a single codebase.
• React Native: This framework enables developers to build mobile apps using JavaScript and React. It allows for the creation of truly native apps, sharing the code base between iOS and Android.
• Xamarin: A Microsoft-owned framework that allows developers to build iOS and Android apps using .NET and C#.

Desktop Software Developer

Desktop Software Developers are experts responsible for designing, implementing, and managing software applications that run on desktop computers. These professionals ensure that the software offers seamless functionality, providing users with a smooth and efficient experience on Windows, Mac, Linux, and other desktop operating systems.

Languages Known

• C++: A powerful language known for its high performance, often utilized in developing complex systems and desktop applications.
• C#: A popular language developed by Microsoft, commonly used to create Windows desktop applications, often in conjunction with the .NET framework.
• Java: An all-purpose language which, besides its use in web and mobile development, is also utilized in creating cross-platform desktop applications.
• Python: A versatile language, often employed in desktop software development due to its simplicity and wide range of available libraries and frameworks.

Frameworks Known

• .NET: A framework developed by Microsoft, it facilitates the creation of desktop applications, particularly for the Windows platform, offering a variety of libraries and runtime environments.
• Qt: A free and open-source widget toolkit for creating graphical user interfaces as well as cross-platform applications that run on various software and hardware platforms with little or no change in the underlying codebase.
• Electron: A framework that allows for the development of desktop GUI applications using web technologies: It combines the Chromium rendering engine and the Node.js runtime.

Data Scientist (Big Data Developer)

Data Scientists specializing in big data are professionals who work with massive datasets to extract valuable insights and information. They utilize advanced analytical techniques, machine learning, and statistical methods to analyze and interpret complex data, helping businesses to make data-driven decisions.

Languages Known

• Python: A favorite in data science circles, known for its simplicity and the vast array of libraries and frameworks that facilitate data analysis and machine learning.
• R: A language specially designed for statistical analysis and data visualization, offering a wide range of packages for specialized analysis.
• SQL: A domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS).
• Scala: Often used with big data platforms like Apache Spark, it’s known for handling high-level data analytics effectively.

Frameworks Known

• Apache Hadoop: An open-source framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.
• Apache Spark: A unified analytics engine for large-scale data processing, offering comprehensive libraries and APIs for data analysis, machine learning, and more.
• TensorFlow: An open-source platform for machine learning, providing a comprehensive ecosystem of tools, libraries, and community resources to help develop ML-powered applications.
• Pandas: A fast, powerful, and flexible open-source data analysis and manipulation tool built on top of the Python programming language.

Artificial Intelligence/Machine Learning Developer

Artificial Intelligence/Machine Learning Developers are the individuals responsible for creating and implementing algorithms that enable machines to learn from and interpret data without explicit programming. They work at the intersection of computer science and statistics, developing systems and models that can analyze patterns and make predictions or decisions.

Languages Known

• Python: A go-to language for AI/ML owing to its simplicity and the rich ecosystem of libraries and tools that facilitate machine learning, data science, and artificial intelligence.
• R: A potent language for statistical analysis and visualization, commonly used for developing machine learning algorithms and data analysis.
• Java: Also commonly used in big data technologies, it is a versatile programming language known for its stability and scalability.
• Scala: Often coupled with big data technologies, it is known for its capability to handle complex data processing tasks efficiently.

Frameworks Known

• TensorFlow: A popular open-source library that’s used for numerical computations and machine learning, offering a comprehensive environment for developing AI/ML applications.
• Keras: A high-level neural networks API that works on top of TensorFlow, renowned for being user-friendly, modular, and extensible.
• Scikit-learn: A Python library that offers simple and efficient tools for data analysis and machine learning, a preferred choice for getting started with machine learning algorithms.
• PyTorch: An open-source machine learning library developed by Facebook, known for providing two high-level features: tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system.

Game Developer

Game Developers are the magicians who bring imaginative worlds to life through video games. They work in teams and weave various elements such as graphics, sound, scripts, and gameplay into a cohesive and engaging experience. They might specialize in coding, character design, level creation, or even narrative storytelling, making each day at work different and exciting.

Languages Known

• C++: Predominantly used in game development due to its high performance and object-oriented features, which allow for complex and detailed game environments.
• C#: A popular language for game development, primarily used with the Unity game development engine, known for its versatility and ease of use.
• JavaScript: Sometimes used in browser-based games, it allows developers to create interactive and dynamic gaming content on websites.
• Python: While not a mainstream choice for game development, it is sometimes used for scripting and tooling purposes in game production processes.

Frameworks Known

• Unity: A cross-platform game development environment that is noted for its user-friendly interface and the ability to create both 2D and 3D games.
• Unreal Engine: A powerful game development engine that provides a range of tools and features for creating high-quality games and VR experiences.
• Godot: An open-source game development engine that is quickly gaining popularity for its flexibility, ease of use, and robust feature set.
• Phaser: A fast, fun framework used for creating browser games using either WebGL or Canvas, perfect for indie developers and fast prototyping.

Operating Systems Developer

Operating Systems Developers are pivotal in crafting the core software that powers computers and other devices. Their realm involves the intricate layers of system software that facilitate communication between hardware and software applications. They work to enhance the performance, reliability, and security of systems, ensuring a seamless user experience.

Languages Known

• C: A fundamental programming language that offers great performance and low-level memory access, making it a popular choice for OS development.
• C++: Building on the foundations of C, it offers object-oriented features and is also utilized in systems programming for its performance and flexibility.
• Assembly: A low-level programming language often used for tasks where direct hardware manipulation and high-performance computing are required.
• Python: Occasionally used for scripting and automation tasks in the operating system development environment, helping to streamline processes.

Frameworks Known

• Linux Kernel: A prominent open-source operating system kernel that forms the basis of various OS distributions and offers a wealth of development opportunities.
• Windows Driver Kit: A toolset from Microsoft that enables the development of device drivers for the Windows operating system.
• Darwin: The open-source UNIX-based foundation of the Apple macOS and iOS operating systems, providing a rich platform for development.
  Android Open Source
• Project (AOSP): A project that enables the development and modification of the Android operating system, offering a comprehensive environment to build and enhance Android OS.

DevOps Developer

DevOps Developers are the linchpins in ensuring the smooth and efficient operation of software development cycles. Their role is multifaceted, involving both the development and operations departments. They focus on streamlining the processes of developing, testing, and releasing software, reducing the time and effort required, and enhancing product quality.

Languages Known

• Python: A versatile language known for its simplicity and readability, frequently used for scripting and automation in DevOps environments.
• Ruby: Another scripting language popular in the DevOps sphere, known for its ease of use and extensive library support.
• Shell: Command-line scripting languages like Bash, which are used to automate operations and manage system tasks effectively.
• Groovy: Often used within Jenkins (a popular CI/CD tool) for writing scripts and creating pipelines.

Frameworks Known

• Jenkins: A widely-used open-source tool to facilitate continuous integration and continuous delivery (CI/CD), helping to automate parts of the software development process.
• Docker: A platform that enables containerization of applications, allowing for ease of deployment and scalability.
• Kubernetes: A powerful container orchestration platform, it manages and automates container deployment, scaling, and operations.
• Ansible: An automation tool for configuration management, application deployment, and task automation, promoting consistency and reliability across environments.

Security Developer (SecDevOps)

Security Developers, particularly in the SecDevOps sphere, are essential players in safeguarding the integrity and confidentiality of data in software systems. They integrate security protocols at every stage of software development, ensuring that the applications are not just functional but secure against various cyber threats. They are the guardians who ensure that the software is built with robust defenses against potential vulnerabilities.

Languages Known

• Python: Often used for scripting and automation in security protocols, offering a range of libraries that assist in implementing security measures.
• JavaScript: Knowledge in JavaScript helps in securing web applications and understanding potential vulnerabilities in the script-based attacks.
• SQL: Understanding SQL is vital to preventing database vulnerabilities and SQL injection attacks.

Frameworks Known

• OpenSSL: A toolkit implementing the Secure Sockets Layer (SSL) and Transport Layer Security (TLS) protocols, which are vital for securing communications over computer networks.
• OWASP: Not exactly a framework but a vital resource offering tools and documentation on web application security.
• Metasploit: A powerful tool for developing, testing, and executing exploit code against a remote target machine.

Technical Recruiting Cheat Sheet Checklist

Front-end Development

• Web Developer: HTML, CSS, JavaScript, PHP, Ruby, Angular, Vue.js, Bootstrap, Webpack, Gulp
• Front-End Developer: HTML, CSS, JavaScript, React, Angular, SASS/LESS, Webpack, Babel, Grunt, jQuery
• UI/UX Designer: HTML, CSS, JavaScript, Sketch, Figma, Adobe XD, InVision, UXPin, Balsamiq, Axure

Back-end Development

• Back-End Developer: Node.js, Ruby, Python, PHP, Java, .NET, Django, Flask, Ruby on Rails, Laravel
• Database Administrator: SQL, Oracle, MySQL, MongoDB, PostgreSQL, Microsoft SQL Server, MariaDB, Cassandra, Redis
• Middleware Developer: Java, Python, .NET, IBM WebSphere, JBOSS, Apache Tomcat, Oracle WebLogic, Nginx

Full Stack Development

• Full-Stack Developer: JavaScript, Python, Ruby, PHP, Angular, React, Node.js, Express.js, MongoDB, SQL

Mobile Development

• Mobile App Developer: Swift, Kotlin, Java, Flutter, React Native, Xamarin, Ionic, Apache Cordova

Game Development

• Game Developer: Unity, C#, Unreal Engine, C++, DirectX, OpenGL, Godot, Blender, CryEngine

Data & Analytics

• Data Scientist: Python, R, SAS, SQL, Hadoop, Spark, MATLAB, Tableau, Power BI, Data Mining
• Big Data Engineer: Hadoop, Spark, Hive, Scala, Java, Kafka, Pig, NoSQL, Storm, Flume
• Business Intelligence Developer: SQL, PowerBI, Tableau, QlikView, SAS, Microsoft BI, SAP Business Objects

Machine Learning & AI

• Machine Learning Engineer: Python, R, TensorFlow, Scikit-learn, Keras, PyTorch, Apache Mahout, MLlib
• AI Developer: Python, R, TensorFlow, PyTorch, Neural Networks, Natural Language Processing, Computer Vision, Deep Learning

Cloud & Systems

• Cloud Engineer: AWS, Azure, GCP, Python, Shell scripting, Terraform, CloudFormation, Docker, Kubernetes
• DevOps Engineer: Jenkins, Docker, Kubernetes, Puppet, Ansible, GitLab, CI/CD, Bash, Powershell
• Systems Engineer: Shell scripting, Python, Windows PowerShell, Linux, Network Administration, Virtualization

Security & Networking

• Security Engineer: Python, SQL, OpenSSL, OWASP, Penetration Testing, Network Security, Firewalls, IDS/IPS
• Network Administrator: Cisco IOS, Juniper JUNOS, Shell scripting, Network Protocols, VPNs, LAN/WAN, Network Security

Embedded & Hardware

• Embedded Systems Developer: C, C++, Assembly, MicroPython, Real-Time Operating Systems, Embedded Linux
• Hardware Engineer: VHDL, Verilog, C, C++, Circuit Design, PCB Design, Signal Processing, Microcontrollers

Product & Project Management

• Product Manager: SQL, Python, Project Management Tools (like JIRA, Asana), Agile & Scrum methodologies, UX/UI principles, Customer Journey Mapping
• Project Manager: Project Management tools (like MS Project), Agile & Scrum, Risk Management, Stakeholder Management, Budgeting and Forecasting
• Scrum Master: Agile, Scrum, Kanban, Lean, JIRA, Conflict Resolution, Facilitation Skills, Coaching & Mentoring

Quality Assurance & Testing

• QA Engineer: Selenium, JUnit, TestNG, Python, Java, LoadRunner, Manual Testing, Automation Testing
• Performance Tester: JMeter, LoadRunner, Selenium, Python, Performance Tuning, Stress Testing, Scalability Testing
• Automation Tester: Selenium, JUnit, Python, Jenkins, Appium, TestComplete, Robot Framework

Other Specialized Roles

• Blockchain Developer: Solidity, Python, JavaScript, Go, Ethereum, Hyperledger, Smart Contracts, DApp Development
• AR/VR Developer: Unity, C#, Unreal Engine, C++, ARKit, ARCore, Vuforia, Oculus SDK
• CRM Developer: .NET, SQL, Java, JavaScript, Dynamics 365, Salesforce, Zoho CRM, SAP CRM
• ERP Developer: ABAP, Java, .NET, SQL, Oracle ERP, SAP ERP, Microsoft Dynamics AX, Odoo
• Ethical Hacker: Python, Shell Scripting, Networking Fundamentals, Penetration Testing, Vulnerability Assessment, Cryptography
• Firmware Developer: C, C++, Assembly, Verilog, Embedded Systems, Microcontrollers, FPGA Development
• Graphics Programmer: C++, HLSL/GLSL, DirectX, OpenGL, Graphic Algorithms, Real-Time Rendering, Shader Programming
• Release Manager: Jenkins, Git, Jira, Shell Scripting, Continuous Integration, Continuous Deployment, Change Management
• SAP Developer: ABAP, SAP UI5, Fiori, NetWeaver, SAP HANA, SAP Fiori
• Microsoft Dynamics Developer: .NET, X++, SQL, C#, Dynamics 365, AX, NAV, CRM
• ETL Developer: SQL, Python, Informatica, Talend, Data Warehousing, Data Integration, Apache NiFi
• Mainframe Developer: COBOL, JCL, DB2, CICS, IMS, z/OS, Mainframe Testing, Assembler

And there you have it! Feeling a little more tech-savvy now? You got this!

But remember, it’s all about finding the right match. Use this cheat sheet to understand the key skills that are in demand.

But hold on a minute, you might have a doubt. “I now know about the skills, but how would you assess those candidates if you don’t know the questions to ask?“

And here’s the cherry on top – meet WeCP, your ultimate tool in technical recruiting excellence!

With WeCP, you can easily create assessment tests to send to potential candidates, helping you sift through and pinpoint the exact talent your role requires.

This gives you the power to ask all the right questions using the ready made test templates, maintain a fair selection process by preventing cheating, and a whole lot more.

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