JD #2382
Applications open
Internship
Software Engr I
Honeywell
About the role
Honeywell Technologies is a global automation leader that delivers innovative solutions across buildings, industrial processes, and critical infrastructure. With a workforce of over 50,000 engineers and technologists, Honeywell combines deep domain expertise with cuttingβedge data analytics to drive the transition from automation to autonomy. The companyβs culture emphasizes safety, sustainability, and continuous learning, offering fresh graduates a platform to work on realβworld problems that impact millions of lives.
As a Software Engineer I β UI Developer, you will join Honeywellβs Bengaluru engineering hub, where crossβfunctional teams collaborate to build modern, responsive web applications that power Honeywellβs digital products. This role is ideal for candidates who are passionate about frontβend development, enjoy turning design mockβups into pixelβperfect interfaces, and are eager to learn about backend services and cloud platforms. You will work under the guidance of senior engineers, receive mentorship, and have clear growth pathways toward senior UI engineering or fullβstack roles.
**Key Responsibilities**
1. Design, develop, test, and maintain responsive web user interfaces using HTML5, CSS3, and JavaScript/TypeScript.
2. Build reusable UI components with React or Angular, adhering to componentβbased architecture.
3. Translate product requirements and UX designs into functional, intuitive user experiences.
4. Integrate UI components with RESTful APIs and handle JSON data efficiently.
5. Write clean, maintainable, and wellβdocumented code following industry best practices.
6. Perform unit and integration testing, and contribute to test automation frameworks.
7. Debug and resolve UI, browser compatibility, and performance issues.
8. Participate in code reviews, design discussions, and agile ceremonies.
9. Collaborate closely with UX designers, backend engineers, QA, and product managers.
10. Contribute to backend development tasks when required, gaining fullβstack exposure.
**Tech Stack**: HTML5, CSS3, JavaScript/TypeScript, React or Angular, Git, REST APIs, Node.js (optional), Azure/AWS (optional), CI/CD pipelines.
**Growth Path**: Starting as a Software Engineer I, you can progress to Software Engineer II, Senior UI Engineer, and eventually Lead Engineer or Product Owner. Honeywell encourages continuous upskilling through internal training, certifications, and exposure to emerging technologies such as cloud services and AIβdriven analytics.
**Why Join Honeywell?** The company offers a vibrant, inclusive environment where fresh talent is trusted with meaningful responsibilities early on. You will work on products that have a tangible impact on industries worldwide, receive competitive compensation, and benefit from a strong mentorship culture that accelerates your professional development.
Eligibility & process
Who can apply
Bachelor's degree in Computer Science, Information Technology, Electronics & Communication, or related engineering discipline. Minimum 60% aggregate (or CGPA 6.5/10). Fresh graduates or candidates with up to 2 years of relevant experience, including internships or substantial project work. No active backlogs at the time of application. Eligible batch years: 2022β2026.
Skills & stack
Selection process
- Round 1: Online aptitude & coding assessment
- Round 2: Technical interview (frontβend concepts, coding, system design)
- Round 3: HR interview (fit, motivations, compensation).
Prep kit
19 resourcesStudy material 4
Placement Papers for the hiring company
A collection of previous placement papers that help you understand the type of questions asked during the assessment stage.
Interview Experiences for the hiring company
Firstβhand accounts of candidates who have gone through the interview process, offering insights into question patterns and interview flow.
Recruitment Preparation Guide
Comprehensive guide covering the entire recruitment cycle, from resume tips to interview strategies.
Algorithm Practice Problems
A curated set of coding problems to sharpen dataβstructures and algorithm skills essential for technical assessments.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Honeywell Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Honeywell and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
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, JSON) & 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 Engr I?
Highlight Honeywell's market reputation, recent tech innovations, and how your skills in HTML5 directly solve their team's objectives.
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).
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.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
6 LPA - 9 LPA per annum
Internship
Bengaluru, Karnataka, India
Nov 29, 2026
