L #2942
Applications open
Full-Time Job
Fullstack Engineer
Fabric
About the role
About Fabric
Fabric is an AI hiring platform. Companies use our AI interviews, sourcing agents, and cheating detection to screen and hire at scale. We've run over 100,000 interviews for customers including Meesho, CRED, and Kearney.
About the Role
Fabric is looking for a Full Stack Engineer who can own product features end to end, from design through delivery. This role is ideal for an engineer who enjoys building reliable backend systems, shipping thoughtful frontend experiences, and working in a fast-moving product environment. You will work across the stack, with a strong focus on Python and Django, while also contributing to frontend development using React and Node.js.
Key Responsibilities
- Own full product features from design through delivery
- Build backend services using Python, Django, and Celery
- Work on distributed systems and asynchronous processing workflows
- Develop frontend experiences using Node.js and React
- Collaborate with product and engineering stakeholders to ship reliable features
- Contribute to architecture, implementation, testing, and production readiness of product modules
- Take ownership of engineering decisions and deliver features with minimal handholding.
Skills & Requirements
- Asynchronous processing
- Celery
- Distributed Processing
- Distributed systems
- Django
- Node.js
- Python
- React.js
- Software Design and development
Work Experience
- Experience at early to mid-stage product companies or startups
- Experience owning and delivering complete product features or modules independently
Eligibility & process
Who can apply
Seniority: Mid-Senior level. Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
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 Fabric 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
Fabric Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Fabric 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, JavaScript, React, Node.js, Django, Distributed Systems, TypeScript, REST APIs) & 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
Fabric 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 Fabric as a Fullstack Engineer?
Highlight Fabric's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Fabric'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
Bengaluru, India
Seniority: Mid-Senior level. Employment t…
