KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
L #2684
Applications open Full-Time Job

Backend Engineer

InFynd

  • Coimbatore, India
  • Competitive Package
  • 5+ Years
  • Posted Yesterday
HR
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About the role

  • Design, develop, and maintain scalable backend applications using Python, Node.js, FastAPI, and Fastify.
  • Develop, integrate, and maintain RESTful APIs and microservices.
  • Design and optimize database schemas, queries, and indexing strategies using MongoDB, Elasticsearch, and MySQL.
  • Build and maintain ETL pipelines for large-scale data processing, transformation, cleaning, and enrichment.
  • Implement data normalization, deduplication, and data enrichment workflows.
  • Integrate third-party APIs and external services with appropriate error handling, retry mechanisms, and failover strategies.
  • Work on AI/LLM integrations using platforms such as Claude and other AI service providers.
  • Develop and maintain Model Context Protocol (MCP) servers and AI-powered automation workflows.
  • Optimize application performance, API response times, and database indexing.
  • Troubleshoot production issues, monitor system performance, and ensure application reliability.
  • Manage application deployment, version control, CI/CD pipelines, and cloud infrastructure.
  • Collaborate with frontend developers, product teams, and other stakeholders to deliver scalable solutions.
  • Participate in code reviews, technical discussions, and Agile development processes.

Requirements

Required Technical Skills

  • Programming Languages: Python, JavaScript, TypeScript, SQL.
  • Backend Frameworks: FastAPI, Node.js, Fastify.
  • API Development: RESTful APIs, Microservices Architecture, API Integration, Authentication.
  • Databases: MongoDB, Elasticsearch, MySQL, NoSQL.
  • Data Engineering: ETL Pipelines, Data Processing, Data Cleaning, Data Normalization, Data Deduplication.
  • AI & LLM: Claude API, Anthropic API, LLM Integrations, MCP, AI-powered Automation.
  • DevOps & Deployment: Linux, Git, CI/CD, PM2, systemd, Cloud Deployment.
  • Monitoring & Debugging: Kibana, Postman, Production Monitoring, Performance Optimization.

Required Experience & Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Minimum 5 years of professional experience in backend development.
  • Strong hands-on experience with Python and/or Node.js backend development.
  • Experience designing and developing scalable APIs and microservices.
  • Strong understanding of database architecture, query optimization, and data processing.
  • Experience working with production environments and cloud deployments.
  • Good problem-solving, analytical, and debugging skills.
  • Ability to work independently and collaborate effectively with cross-functional teams.

Eligibility & process

Who can apply

Seniority: Executive. Employment type: Full-time

Skills & stack

Python JavaScript TypeScript SQL Node.js FastAPI REST APIs Microservices

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
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, SQL, Node.js, FastAPI, REST APIs, Microservices) & 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 InFynd Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join InFynd as a Backend Engineer?
Highlight InFynd'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).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
InFynd Competitive Package
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