N #2731
Applications open
Full-Time Job
Senior Backend Developer
Careernet
About the role
Key Skills
Python 3, AWS, Serverless Architecture, Event-Driven Architecture, REST APIs, Microservices, DynamoDB, PostgreSQL, Amazon RDS, Terraform, Terragrunt, CI/CD, OAuth 2.0, OIDC, SAML, Okta, Active Directory
Roles &
Responsibilities
- Design, develop, test, and maintain backend microservices, REST APIs, integrations, and workflow orchestration components using Python 3.
- Build scalable, secure, event-driven, and serverless solutions using AWS services and reliable asynchronous processing patterns.
- Apply Hexagonal Architecture, Ports and Adapters, or comparable domain-centered approaches to maintain separation between business logic, infrastructure, and external systems.
- Design data models for DynamoDB and PostgreSQL/Amazon RDS, while implementing resilient integrations with enterprise platforms and external services.
- Implement authentication, authorization, observability, audit-friendly processing, retry handling, idempotency, and production diagnostics.
- Define and maintain Infrastructure as Code using Terraform and Terragrunt, and support CI/CD and deployment automation.
- Participate in technical design reviews, code reviews, troubleshooting, root-cause analysis, mentoring, and continuous improvement initiatives.
- Skills Required: 6-8 years of professional software engineering experience, including significant backend development experience.
- Strong backend development experience with substantial hands-on Python 3 expertise.
- Production experience designing AWS serverless, event-driven, and integration-based solutions.
- Proficiency in Infrastructure as Code practices and managing cloud environments through repeatable automation.
- Experience building secure, scalable backend services, APIs, integrations, and asynchronous workflows.
- Understanding of maintainable architecture patterns, data modeling, reliability engineering, authentication, authorization, and production support.
Good to Have
Terraform, application development, microservices, REST API, and SQL experience.
Education
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field; equivalent practical experience may be considered.
Eligibility & process
Who can apply
Experience: 6-8 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
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 Careernet 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
Careernet Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Careernet 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 (Serverless, Architecture, REST APIs, SAML, CI/CD, Oidc, Terraform, Python) & 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
Careernet 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 Careernet as a Senior Backend Developer?
Highlight Careernet's market reputation, recent tech innovations, and how your skills in Serverless directly solve their team's objectives.
Highlight Careernet's market reputation, recent tech innovations, and how your skills in Serverless 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: 6-8 Yrs. Open to matching qua…
