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HTML5 Developer(HTML5/CSS Front-End Developer)Hyderabad-Immediate Only

Innova Solutions

  • Hyderabad, India
  • 11-16 Lacs PA
  • 5-8 Yrs
  • Posted Today
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About the role

Fulltime ,Hybrid (3 days WFO),Hyderabad Interview : 1- Virtual ,Final -F2F We are seeking a skilled HTML5 Developer with strong expertise in HTML5, CSS3, and responsive web design to develop responsive, user-friendly, and high-performance web applications. The ideal candidate should have hands-on experience converting UI/UX designs into pixel-perfect web pages and ensuring cross-browser compatibility and mobile responsiveness. Key Responsibilities Develop and maintain responsive web pages using HTML5, CSS3, and JavaScript . Convert Figma, Adobe XD, PSD, or other design mock-ups into high-quality web interfaces. Create reusable and maintainable front-end components. Ensure websites are mobile-friendly and optimised for various screen sizes. Implement cross-browser compatible solutions. Collaborate with UI/UX designers, developers, and stakeholders to deliver seamless user experiences. Optimise web pages for maximum speed and scalability. Troubleshoot and resolve front-end issues and bugs. Follow coding standards, best practices, and accessibility guidelines. Required Skills Strong experience in HTML5 and CSS3 . Expertise in responsive web design and mobile-first development . Strong knowledge of Flexbox, CSS Grid, Media Queries, and CSS Animations . Experience with JavaScript (ES6+) and DOM manipulation. Knowledge of front-end frameworks such as Bootstrap or Tailwind CSS . Understanding of cross-browser compatibility issues and solutions. Familiarity with version control systems such as Git . Experience in performance optimisation and web accessibility standards. Preferred Skills Experience with React.js, Angular, or Vue.js. Knowledge of SASS/SCSS or LESS. Basic understanding of REST APIs and JSON. Experience working in Agile/Scrum environments. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of relevant experience in front-end development. Strong portfolio showcasing responsive web projects. Nice to Have Experience with web accessibility (WCAG standards). Knowledge of SEO best practices for front-end development. Familiarity with CI/CD pipelines and deployment processes.

Eligibility & process

Who can apply

Experience: 5-8 Yrs. Open to matching qualifications.

Skills & stack

Software Engineering Problem Solving

Selection process

  1. Online Assessment / Technical Interview Rounds / HR Review

Prep kit

19 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
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 (Software Engineering, Problem Solving) & 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 Innova Solutions Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
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
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
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
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).
Behavioural & HR questions 3
Why do you want to join Innova Solutions as a HTML5 Developer(HTML5/CSS Front-End Developer)Hyderabad-Immediate Only?
Highlight Innova Solutions's market reputation, recent tech innovations, and how your skills in Software Engineering directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Innova Solutions 11-16 Lacs PA
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