For ein Lernpaket für EM-Interviews, the strongest matches are yangshun/tech-interview-handbook (This repo is a broad software engineering interview handbook), wolverinn/waking-up (This repository is a backend technical interview study guide) and khangich/machine-learning-interview (This repository is a collection of interview resources tailored). systemdesign42/system-design-academy and nas5w/interview-guide round out the shortlist. Each is ranked by relevance to your query, popularity and recent activity.
Zugriff auf kuratierte Guides, Übungsfragen und strategische Ressourcen für technische Führungs- und Management-Interviews.
This repository provides a comprehensive collection of educational materials and strategies designed to assist technical professionals in preparing for the various stages of the software engineering interview process. It covers core competencies including algorithmic problem-solving, behavioral interview techniques, system design architecture, and general career development. The content is organized into structured study plans and tactical guides that address specific interview formats, ranging from initial phone screens to final onsite sessions. It includes resources for mastering data struc
This repo is a broad software engineering interview handbook covering behavioral and system design topics, but it is aimed at individual contributor roles rather than specifically targeting engineering manager interview preparation, so it lacks the leadership and management case studies you need.
Waking-Up is a backend interview study guide and computer science knowledge base. It serves as a learning path for candidates to master the essential theory required for backend engineering roles through a curated repository of core concepts. The project functions as a technical interview question bank, pairing common interview questions with detailed follow-up queries. This structure is designed to simulate real technical screenings and test the depth of a candidate's knowledge. The content covers fundamental computer science domains, specifically operating systems, networking, and database
This repository is a backend technical interview study guide covering CS fundamentals like operating systems and networking, not the behavioral questions, leadership principles, or management case studies needed for engineering manager interview preparation.
This project is a curated collection of technical reference materials and study guides designed for machine learning interview preparation. It provides comprehensive resources for candidates pursuing engineering roles, focusing on deep learning, production infrastructure, and large-scale system design. The repository distinguishes itself through an architecture that combines theoretical research with industrial case studies. It utilizes a pattern-based approach to system design, breaking down complex deployments—such as recommendation engines, search ranking, and ad click prediction—into reus
This repository is a collection of interview resources tailored for machine learning roles, not engineering management—it lacks the leadership case studies, peer conflict scenarios, and management-specific frameworks your search requires.
System Design Academy is an educational platform and study guide focused on software architecture and distributed systems engineering. It provides a structured collection of technical playbooks, design patterns, and deep dives intended to assist engineers in mastering complex system design and preparing for technical interviews. The platform functions as a content management system that utilizes version-controlled markdown files to maintain and distribute engineering knowledge. By employing a static site generator, the project pre-renders all educational materials into plain HTML files to ens
This repository offers a structured study guide for system design interviews, which is a different domain from the behavioral, leadership, and management case-study focus required for engineering manager interview preparation.
This project is a comprehensive set of roadmaps and curricula designed for technical, behavioral, and architectural interview mastery. It provides structured guides, frameworks, and checklists for mastering algorithmic coding, system design, and behavioral questions. The resource is distinguished by specialized study paths, including a frontend engineering curriculum and a dedicated system design framework for architecting scalable systems. It also features a behavioral interview playbook that utilizes a standardized response method to align professional experience with company values. The g
This is a general technical and behavioral interview preparation guide, but it is not specifically curated for engineering manager interviews — it lacks management case studies, leadership principles, and other EM-focused topics you need.
This project is a comprehensive, community-curated compendium of the fundamental principles, heuristics, and adages that define professional software engineering. It serves as a structured reference for developers and managers, documenting the empirical observations and mathematical formulas that shape system architecture, team dynamics, and technical decision-making. The repository distinguishes itself through a decentralized, open-contribution model that relies on distributed version control to maintain its knowledge base. By utilizing a flat-file data structure and markdown-based content c
Hacker Laws is a reference collection of software engineering principles and heuristics, useful for general management knowledge but not a curated set of interview practice materials such as behavioral questions, mock scenarios, or case studies.
This project is a comprehensive interview question bank and employer evaluation guide designed for job candidates to audit potential employers. It provides a structured framework of inquiries to assess a company's business stability, technical culture, and benefits packages. The resource is distinguished by its multilingual support, providing translated question sets to assist candidates across various global languages. It employs a taxonomy-driven organization to help users filter and retrieve specific probes for employer evaluation. The framework covers several key evaluation domains, incl
This repository is a question bank for candidates to evaluate employers, not a preparation guide for answering interview questions yourself—so it covers some interview context but lacks the behavioral questions, leadership principles, and mock scenarios needed for engineering manager interview prep.
This project is a comprehensive career transition guide and job navigator designed for software engineers moving from the private sector into government and public service roles. It serves as a structured resource for evaluating job eligibility, comparing professional benefits, and selecting government positions that value technical backgrounds. The repository provides specialized guidance for the public sector recruitment process, including a handbook for navigating political reviews, medical screenings, and background vetting. It also features a civil service exam guide with study methodolo
This is a career transition guide for software engineers moving into government roles, not a resource focused on engineering manager interview preparation—it covers public-sector interviews rather than the behavioral, system design, and leadership aspects specific to engineering management interviews.
Algodeck is an open-source collection of flash cards designed for reviewing algorithms, data structures, and system design concepts, specifically curated for technical interview preparation. The project organizes knowledge into atomic question-and-answer pairs and incorporates spaced repetition scheduling to optimize long-term memory retention. The flash card catalog covers a broad range of computer science topics, including classic sorting algorithms like quicksort and mergesort, data structure operations for arrays, trees, heaps, tries, and graphs, as well as bit manipulation techniques for
Algodeck is a flash card collection for technical coding interviews (algorithms, data structures, system design) rather than engineering management preparation, so it covers the wrong domain of interview resources—it won't help with behavioral questions, leadership principles, or management case studies.
tlroadmap is an engineering leadership roadmap and management curriculum designed to guide the transition from technical contributor to leadership. It provides a structured set of competencies and a technical management knowledge base focused on organizational alignment, people management, and operational excellence. The project centers on a team lead competency map and professional development frameworks. It outlines the hard and soft skills required to manage developers and product strategy, including the creation of individual growth plans and the assessment of leadership competencies. Th
This is an engineering leadership roadmap and competency curriculum for transitioning to management roles, but it is not a curated collection of interview questions, mock scenarios, or frameworks specifically for preparing for engineering manager interviews.
This project is a comprehensive educational resource and study guide focused on distributed systems architecture and backend infrastructure design. It provides a structured curriculum for mastering the principles of scalability, reliability, and performance required to design complex software systems. The repository distinguishes itself by offering a methodical approach to technical interview preparation, incorporating design patterns, architectural trade-offs, and spaced repetition tools to help users retain complex concepts. It emphasizes constraint-driven analysis, teaching users how to ev
This repository is a comprehensive resource for technical system design interviews, not for engineering manager interviews—it covers distributed systems and scalability but lacks any focus on leadership, behavioral questions, or management case studies.
| Repository | Stars | Sprache | Lizenz | Letzter Push |
|---|---|---|---|---|
| yangshun/tech-interview-handbook | 140.3K | TypeScript | MIT | |
| wolverinn/waking-up | 10.3K | — | GPL-3.0 | |
| khangich/machine-learning-interview | 12.6K | — | — | |
| systemdesign42/system-design-academy | 25.8K | — | NOASSERTION | |
| nas5w/interview-guide | 4.3K | Astro | — | |
| dwmkerr/hacker-laws | 27.2K | HTML | CC-BY-SA-4.0 | |
| viraptor/reverse-interview | 28.6K | — | NOASSERTION | |
| coder2gwy/coder2gwy | 27.6K | — | — | |
| teivah/algodeck | 5.8K | HTML | NOASSERTION | |
| tlbootcamp/tlroadmap | 5.1K | Vue | CC-BY-SA-4.0 |