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REQUIREMENT_ID_306 β€’ 3-DAY_ACTIVE_POLICY

Remote Front End Developer

Company
Company Coalition Technologies
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary $17 - $35 per hour
Location
Location Remote
Posted Date
Posted Date Today
HTML5 CSS3 JavaScript ES6+ jQuery React Vue Angular Bootstrap responsive design cross‑browser compatibility Git Chrome DevTools AI tools communication multitasking attention to detail
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Aptitude and Logical Reasoning Practice Open Resource β†—
Helps sharpen analytical thinking for coding interviews at Coalition Technologies.
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Interview Preparation Guide Open Resource β†—
Provides insights into common interview questions and best practices for Coalition Technologies interviews.
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Coding Challenge Resources Open Resource β†—
Offers practice problems to improve problem‑solving skills for the technical assessment at Coalition Technologies.
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Algorithmic Problem Solving Open Resource β†—
Enhances algorithmic thinking and coding efficiency for the technical interview at Coalition Technologies.

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Candidates should have a strong portfolio of web projects and be comfortable working in a remote environment.

1
Round 1: Skills assessment (video)
2
Round 2: Technical interview (frontend)
3
Round 3: HR interview
Coalition Technologies, a forward‑thinking digital agency, has been delivering high‑quality web solutions for over a decade. The company prides itself on a culture of innovation, continuous learning, and a strong focus on client satisfaction. With a fully remote workforce, Coalition Technologies has built a collaborative environment that empowers employees to work from anywhere while staying connected through structured communication and time‑tracking tools. We are looking for a Remote Front End Developer to join our growing team. In this role, you will transform complex design files into pixel‑perfect, responsive HTML5/CSS3 templates, build engaging web experiences, and support frontend development across multiple platforms. You will work closely with designers, backend developers, and product managers to deliver high‑quality work on tight deadlines. Key Responsibilities: 1. Convert PSDs, Sketch, or Figma designs into clean, semantic HTML5/CSS3 code. 2. Build responsive, mobile‑first layouts using CSS frameworks such as Bootstrap. 3. Develop reusable components with modern JavaScript frameworks (React, Vue, or Angular). 4. Optimize images and assets for web performance. 5. Debug cross‑browser issues using Chrome DevTools. 6. Collaborate with designers to create web‑optimized graphics. 7. Use version control (Git) for code management. 8. Integrate AI tools (GitHub Copilot, OpenAI) to accelerate development. 9. Participate in code reviews and maintain coding standards. 10. Mentor junior developers and share best practices. Tech Stack: HTML5, CSS3, JavaScript (ES6+), jQuery, React/Vue/Angular, Bootstrap, Git, Chrome DevTools, AI coding assistants. Growth Path: Starting as a Front End Developer, you can progress to Senior Front End Engineer, Lead Front End Architect, or Product Manager, depending on your interests and performance. The company offers clear performance metrics, profit‑sharing bonuses, and continuous learning opportunities. Why Join Coalition Technologies? The remote work model gives you flexibility, while the profit‑sharing plan rewards your contributions. The company values creativity, initiative, and a positive attitude, and it provides a supportive environment for career growth. If you thrive in a startup‑style setting and want to build impactful web experiences, this role is for you.

Coalition Technologies β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Coalition Technologies Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Coalition Technologies and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (HTML5, CSS3, JavaScript, ES6+, jQuery, React, Vue, Angular, Bootstrap, responsive design, cross‑browser compatibility, Git, Chrome DevTools, AI tools, communication, multitasking, attention to detail) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Coalition Technologies Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Coalition Technologies as a Remote Front End Developer?
Preparation Tip: Highlight Coalition Technologies's market reputation, recent tech innovations, and how your skills in HTML5 directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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