L #2675
Applications open
Full-Time Job
Software Engineer
Planfirma
About the role
Hi Team,
Greetings from Planfirma...
We’re looking for a proactive and technically strong Software Engineer with hands-on experience in Ruby, Python, and modern frontend frameworks. This role involves end-to-end development, contributing to architecture decisions, and ensuring high-quality, scalable software delivery. If you love solving problems, writing clean code, and working in an agile environment, this role is for you!
Job Description: Software Engineer (Ruby + Python)
Location: Mumbai
Experience: Approx. 3 years
Qualification: BTech/BE
Notice Period: Immediate Joiners Preferred
About the Role
Mandatory Skills
- Backend: Ruby, Python, Ruby on Rails / Django / Flask
- Frontend: VueJS / React / Angular (at least one)
- Database: MySQL / PostgreSQL / MongoDB
- APIs: JSON, REST API development
- Others: Git, Linux (basic), CI/CD pipelines
- Cloud: Basic understanding of AWS (EC2, S3, RDS, etc.)
Preferred Skills
- Experience
- in Ruby tools or concepts
- Working knowledge of microservices architecture
- Exposure to DevOps practices and cloud-native deployment
Key Responsibilities
- Develop, test, and maintain high-quality web applications using Ruby and Python frameworks
- Build scalable REST APIs and integrate them with dynamic frontend applications
- Collaborate with the team on application architecture, performance optimization, and security best practices
- Review code, maintain coding standards, and ensure clean, maintainable deliverables
- Mentor and support junior developers
- Participate in deployment processes, cloud setups, and CI/CD workflows
- Troubleshoot and resolve bugs, performance issues, and integration challenges
What We’re Looking For
- 2.5–3 years of backend development experience
- Solid understanding of backend frameworks (RoR / Django / Flask)
- Good knowledge of frontend technologies (VueJS/React/Angular)
- Strong problem-solving abilities and ownership mindset
- Good communication skills and confidence to interact with internal teams & stakeholders
- Ability to work independently and collaboratively in a fast-paced environment
Eligibility & process
Who can apply
Seniority: Entry level. Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
19 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 Planfirma 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
Planfirma Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Planfirma 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, Ruby, React, Angular, Vue.js, Django, Flask, Ruby on Rails) & 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
Planfirma 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 Planfirma as a Software Engineer?
Highlight Planfirma's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Planfirma'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
Mumbai, India
Seniority: Entry level. Employment type: …
