N #2688
Applications open
Full-Time Job
Python Fullstack Developer
Happiest Minds Technologies
About the role
Senior Software Engineer - Python, NodeJS, React
Job Summary
We are seeking a highly skilled Senior Software Engineer with extensive experience in Python, NodeJS, and React. The ideal candidate will have a strong background in developing scalable applications and managing deployments in Kubernetes. You will be responsible for designing, implementing, and maintaining software solutions that meet our product requirements while leveraging modern technologies such as OpenAI and MSAL Python libraries.
Responsibilities
- Design, develop, and maintain high-quality software applications using Python, NodeJS, and React.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Manage individual deployments in Kubernetes, ensuring reliability and scalability.
- Utilize product-specific APIs and general Python libraries to enhance application functionality.
- Implement best practices for software development, including code reviews, testing, and documentation.
- Stay updated with emerging technologies and industry trends to continuously improve our software solutions.
- Mentor junior developers and contribute to team knowledge sharing.
Mandatory Skills
- 8+ years of software development experience. 5+ years of hands-on experience with Python (deal breaker skill).
- Proficiency in NodeJS and React.
- Experience with Kubernetes for managing deployments.
- Familiarity with OpenAI and MSAL Python libraries.
Preferred Skills
- Experience with product-specific APIs.
- Knowledge of cloud services and microservices architecture.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
- Deal Breaker Skill : Python Mandatory Skills : Python, NodeJs, ReactJS
Eligibility & process
Who can apply
Experience: 5-8 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Happiest Minds Technologies and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
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
Happiest Minds Technologies Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Happiest Minds Technologies 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 (Python, React, Node.js, Full Stack, Microservices, Kubernetes, Django, FastAPI) & 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
Happiest Minds Technologies Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Python. Answer
Model answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer
Model answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
Model answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer
Model answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer
Model answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Behavioural & HR questions 3
Why do you want to join Happiest Minds Technologies as a Python Fullstack Developer?
Highlight Happiest Minds Technologies's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Happiest Minds Technologies's market reputation, recent tech innovations, and how your skills in Python 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.
Competitive Package (Best in Industry)
Bengaluru, India
Experience: 5-8 Yrs. Open to matching qua…
