Explore ApplyDjinn
Find the right evidence, guide or learning path.
Start with the market, inspect a role, then build the skills and application materials you need. These public sections are available without an account.
Jobs and market research
- iPhone app →
Download ApplyDjinn from the App Store and explore real application screenshots.
- MCP for AI agents →
Install the official MCP server for research, learning and browser-approved profile help.
- Current vacancies →
Browse roles and inspect their actual requirements and source dates.
- Hiring companies →
Explore employer profiles, technology context and hiring activity.
- Technology demand →
Separate core requirements from contextual skill mentions.
- Jobs by location →
Compare countries, cities and remote markets.
- Role markets →
Explore engineering specialties and their requirements.
- Disclosed salaries →
Read published pay alongside the coverage limitations.
- Hiring trends →
Inspect changes in our observed vacancy population.
- Research journal →
Dated analysis, practical guidance and market evidence.
- Company news →
Read source-linked company updates and summaries.
- Career switch planner →
Connect transferable skills, learning paths and suitable roles.
Engineering learning paths
Open a course for its full lesson sequence, worked examples, gradual practice and reasoning checks.
- Algorithms →
95 lessons
- Patterns →
45 lessons
- Data Structures →
60 lessons
- JavaScript →
29 lessons
- Interview Questions →
38 lessons
- Frontend →
22 lessons
- Node & Backend →
76 lessons
- Databases & Data →
73 lessons
- DevOps & Infra →
67 lessons
- Computer Networks →
18 lessons
- System Design →
25 lessons
- Cybersecurity →
112 lessons
- AI · LLM →
29 lessons
- TypeScript: foundations →
16 lessons
- TypeScript: designing types →
16 lessons
- TypeScript: API, React and production →
16 lessons
- QA: testing foundations →
16 lessons
- QA: automation with Playwright →
16 lessons
- SQL: query foundations →
16 lessons
- SQL: analytics and dependable queries →
16 lessons
- Python: practical foundations →
16 lessons
- Python: APIs and reliable automation →
16 lessons
- Django: practical web applications →
16 lessons
- Flask: APIs and web applications →
16 lessons
- PyTorch: tensors to a trained model →
16 lessons
- Pydantic: reliable data contracts →
16 lessons
- FastAPI: practical and tested APIs →
16 lessons
- Django REST Framework: practical APIs →
18 lessons
- NumPy: arrays and numerical computing →
18 lessons
- pandas: reliable tabular analytics →
18 lessons
- pytest: reliable Python tests →
18 lessons
- SQLAlchemy and Alembic: reliable database work →
18 lessons
- Python: reusable libraries and packaging →
18 lessons
- ETL and Data Engineering: reliable pipelines →
18 lessons
Career and interview guides
- Finding a tech job in the United States →
- Finding a tech job in Europe →
- Finding a tech job in Israel →
- NVIDIA engineering interviews: stages, technical preparation and practice →
- Microsoft technical interviews: how to prepare for the next round →
- Amazon SDE II interviews: assessment, design, coding and the loop →
- Coding interview practice: patterns, tests and original worked problems →
- System design interviews: requirements, trade-offs and a worked service →
- AI implementation interviews: evaluation, safety and production handoff →
- Security engineering interviews: threat models, incident triage and verified fixes →
- Backend and API engineering interviews: contracts, concurrency and reliable delivery →
- Data engineering interviews: SQL, event pipelines and trustworthy metrics →
- From Systems Administrator to Cloud Engineer: A Practical Career Transition →
- Is It Still Worth Becoming a Programmer in 2026? A Practical Guide to the Future of IT →
- From Software Developer to Application Security Engineer: Skills, Projects and a Credible Transition →