L #2653
Applications open
Full-Time Job
Python Full Stack Developer – Network & Telecom Domain
NEEV
About the role
Location Bangalore (Onsite)
Experience 7+ Years
Mandatory Skills
Backend – Python
- 7+ years of strong experience in Python (Python 3.x).
- Expertise in Django, Flask, and FastAPI frameworks.
- Experience in RESTful API design and development and Microservices architecture.
- Experience with Celery, Asyncio, and multithreading.
- Knowledge of network automation using Netmiko, NAPALM, Paramiko, and Ansible.
- Experience working with SNMP, NETCONF, RESTCONF, and YANG models.
Frontend
- Strong experience in React.js, Angular, or Vue.js.
- Experience with JavaScript, TypeScript, HTML5, CSS3, and Bootstrap.
- Experience in building network dashboards.
Databases and Platforms
- PostgreSQL, MySQL, MongoDB, Redis, and Elasticsearch.
- Message queues: Kafka and RabbitMQ.
- Version control: Git and GitLab.
- Containerization: Docker and Kubernetes.
- CI/CD: Jenkins and GitHub Actions.
- Experience in Linux/Unix environments and Shell scripting.
Responsibilities
- Design, develop, and maintain full-stack applications for telecom network management.
- Develop scalable backend services and interactive frontends for network visualization.
- Integrate with network devices, EMS/NMS systems, and third-party telecom platforms.
- Automate network operations, provisioning, and fault-handling workflows.
- Collaborate with cross-functional teams, including Network Architects, QA, and DevOps.
- Ensure high performance, security, and availability of applications.
- Troubleshoot complex networking and application issues in production.
Qualification
- B.E./B.Tech/M.E./M.Tech in Computer Science, Electronics & Communication, or a related field.
Skills: api,ansible,python,angular,stack,design,telecom,application,platforms
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
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 NEEV 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
NEEV Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for NEEV 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, TypeScript, React, Angular, Vue.js, HTML5, CSS3) & 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
NEEV 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 NEEV as a Python Full Stack Developer – Network & Telecom Domain?
Highlight NEEV's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight NEEV'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…
