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Technical Lead UI/UX (Angular)

Sparity

  • Hyderabad, India
  • 10-20 Lacs PA
  • 9-14 Yrs
  • Posted Oct 23, 2026
HR
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About the role

Interested Candidates Can please apply now Dear All, Greetings from Sparity! Sparity is a global technology company specializing in AI, Digital Transformation, Cloud, Cybersecurity, and IT Consulting services. With a strong presence across India and international markets, we are committed to innovation, growth, and delivering scalable business solutions. Role: Technical Lead UI/UX (Angular) Position: Full Time Experience : 9-12 years Location: Hyderabad Key Responsibilities Lead Angular application development and define front-end architecture, coding standards, and reusable components. Manage deployment of Angular applications using AWS S3 static hosting and CDN/CloudFront. Integrate front-end applications with GraphQL (AWS AppSync) and REST APIs (API Gateway). Ensure responsive design, usability, accessibility, and front-end performance. Set up and manage CI/CD pipelines using GitHub, GitHub Actions, and Jenkins. Lead code reviews, technical design discussions, debugging, and root-cause analysis. Mentor UI/UX engineers and collaborate with backend, integration, and automation teams. Apply secure development practices involving IAM, encryption, ECS, and Terraform. Drive responsible adoption of AI-assisted development tools such as Cursor, Devin AI, and Claude Skills. Ensure code quality, testing, security, and compliance throughout the SDLC. Mandatory Skills 912 years of software engineering experience with strong front-end expertise. Expert hands-on experience in Angular, TypeScript, HTML, and CSS. Strong experience deploying Angular applications on AWS using S3 and CDN/CloudFront. Experience with AWS ECS and Terraform. Experience integrating applications with GraphQL, AWS AppSync, and API Gateway. Knowledge of GitHub, GitHub Actions, Jenkins, and CI/CD. Good understanding of responsive UI/UX design, accessibility, and front-end performance. Hands-on experience with AI-assisted development tools such as Cursor, Devin AI, or Claude Skills. Strong understanding of AI/LLMs, prompt engineering, secure AI usage, and validation of AI-generated code. Experience leading technical projects or small teams. Good to Have Healthcare payer/provider portal experience. Accessibility testing knowledge, including WCAG 2.1 AA. Working knowledge of Docker, EKS, OpenShift, VPC, RDS, IAM, and security groups. Basic knowledge of Python, Java, or Node.js. Client-facing consulting or professional services experience. Education Bachelors or Master’s degree in Computer Science, Engineering, Information Technology, or a related field. Interested Candidates Can please apply now

Eligibility & process

Who can apply

Experience: 9-14 Yrs. Open to matching qualifications.

Skills & stack

Typescript AWS Jenkins UI UI Cs HTML/CSS CSS

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 (Typescript, AWS, Jenkins, UI, UI, Cs, HTML/CSS, CSS) & 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 Sparity 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 Sparity as a Technical Lead UI/UX (Angular)?
Highlight Sparity's market reputation, recent tech innovations, and how your skills in Typescript 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.
Sparity 10-20 Lacs PA
Recruiter Resume Apply
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