KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
JD #2419
Applications open Internship

Software Engineer I – UI Developer

Honeywell

  • Bengaluru, Karnataka
  • 6-8 LPA
  • 2 Years
  • Posted Oct 28, 2026
HR
Recruiter contact
Recruiter / hiring contact
No public email in this post. Use a source-linked contact instead.

About the role

Honeywell is a global technology and manufacturing leader with a strong presence in India, delivering innovative solutions across aerospace, building technologies, performance materials, and safety & productivity solutions. The company’s Indian operations are known for fostering a culture of continuous learning, encouraging engineers to work on cutting‑edge projects that impact real‑world industries. With a focus on digital transformation, Honeywell invests heavily in modern software platforms, cloud services, and intelligent user experiences, making it an attractive destination for fresh engineering talent. The Software Engineer I – UI Developer role is an entry‑level, on‑site position based in Bengaluru, designed for candidates who have a solid grounding in front‑end web technologies and a passion for building responsive, user‑centric applications. As a UI Developer, you will collaborate closely with product managers, UX designers, and backend engineers to translate functional requirements and design mock‑ups into high‑quality, maintainable code. The role offers exposure to industry‑standard development practices, agile methodologies, and the opportunity to contribute to products that serve a diverse set of customers worldwide. Key responsibilities include: 1. Converting UI/UX designs into pixel‑perfect, responsive web pages using HTML5, CSS3, and JavaScript/TypeScript. 2. Developing reusable components and modules with modern frameworks such as React or Angular. 3. Integrating front‑end components with RESTful APIs and handling asynchronous data flows. 4. Writing unit and integration tests to ensure code reliability and performance. 5. Participating in code reviews, providing constructive feedback, and adhering to coding standards. 6. Debugging and troubleshooting UI issues across multiple browsers and devices. 7. Collaborating with backend teams to define API contracts and improve overall system architecture. 8. Maintaining documentation for components, APIs, and development workflows. 9. Keeping up‑to‑date with emerging front‑end technologies and recommending improvements. 10. Contributing to sprint planning, estimation, and agile ceremonies. The tech stack for this role typically includes HTML5, CSS3, JavaScript/TypeScript, React or Angular, Git for version control, and tools like Jest or Cypress for testing. Honeywell also encourages familiarity with CI/CD pipelines and cloud platforms, which can accelerate career growth. Growth path at Honeywell is well‑structured: successful UI developers can progress to Senior Software Engineer, Lead UI Engineer, or move into full‑stack development, product ownership, or architectural roles. The company’s emphasis on mentorship, internal training programs, and cross‑functional projects ensures that freshers gain a broad skill set and clear advancement opportunities. Why join Honeywell? Apart from a competitive salary and comprehensive benefits, you will work in an environment that values innovation, diversity, and employee well‑being. The organization’s global footprint provides exposure to large‑scale projects, while its collaborative culture ensures that every voice is heard. For ambitious fresh graduates eager to build a solid foundation in modern web development, Honeywell offers the perfect blend of challenging work, supportive mentorship, and a pathway to long‑term career success.

Eligibility & process

Who can apply

Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, Electrical Engineering, or any related technical discipline; Minimum aggregate of 60% (or 6.0 CGPA) in the qualifying degree; Batch year 2025‑2027; No active backlogs at the time of application; Candidates with up to 2 years of relevant internship or project experience are eligible.

Skills & stack

HTML5 CSS3 JavaScript TypeScript React Angular REST APIs Git

Selection process

  1. Round 1: Online aptitude and coding assessment
  2. Round 2: Technical interview focusing on front‑end concepts and problem‑solving
  3. Round 3: HR interview assessing cultural fit and communication skills

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 (HTML5, CSS3, JavaScript, TypeScript, React, Angular, REST APIs, Git) & 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 Honeywell 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 Honeywell as a Software Engineer I – UI Developer?
Highlight Honeywell'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.
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.
Honeywell 6-8 LPA
Recruiter Resume Apply
Chat Chat with Kashii