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Applications open Full-Time Job

Backend Python Developer

VectorStack

  • Bengaluru, India
  • Competitive Package
  • 5 – 7 Years
  • Posted Today
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About the role

Job Title: Backend Python Developer

Location: Bangalore

Employment Type: Full-Time

Experience Required: 5 – 7 years (Mid-Level)

About VectorStack

VectorStack is a tech-innovation company driving digital transformation and business performance through cloud, AI/ML, software development, and consulting. We partner with clients across Retail, FinTech, EdTech, AdTech, and more to build scalable, secure, and future-ready technology stacks.

Key Responsibilities

Architect, build, and maintain backend services, APIs, and microservices using Python (Flask / FastAPI).

Design and optimize CRUD operations across relational and non-relational databases (MongoDB, SQL, PostgreSQL, MySQL).

Model and maintain data schemas, indexes, constraints, and relationships.

Ensure robust error handling, logging, and API validation.

Optimize backend endpoints for performance, scalability, and latency.

Integrate services with authentication, rate limiting, caching, and versioning.

Deploy, manage, and monitor backend services on AWS (EC2, Lambda, S3, RDS, IAM, CloudWatch).

Write unit tests, integration tests, and conduct code reviews.

Maintain API specs, data models, and architecture documentation.

Collaborate with frontend, DevOps, QA, and product teams for end-to-end delivery.

Stay updated with technology trends and mentor junior engineers.

Required Skills & Qualifications

4–6 years of backend software development experience.

Strong proficiency in Python with hands-on experience in RESTful APIs and microservices.

Proficiency with Flask and FastAPI frameworks.

Strong database knowledge: MongoDB and at least one relational DB (PostgreSQL/MySQL).

Deep understanding of CRUD operations, data modeling, and query optimization.

Experience deploying and managing services on AWS.

Familiarity with Docker and containerization.

Understanding of concurrency and asynchronous programming (asyncio, background tasks).

Strong debugging, troubleshooting, and performance tuning skills.

Solid experience with Git, CI/CD pipelines, and coding best practices.

Strong communication and collaboration skills.

Preferred / Nice-to-Have

Kubernetes / container orchestration.

Messaging and streaming systems (RabbitMQ, Kafka).

Caching systems (Redis, Memcached).

Authentication/authorization frameworks (JWT, OAuth2).

Experience with event-driven architectures.

Domain experience in e-commerce, fintech, or SaaS platforms.

Logs and monitoring tools (Prometheus, Grafana, ELK stack).

Why Join VectorStack?

Be part of a core engineering team solving real-world, large-scale problems.

Work on cutting-edge cloud and AI/ML-powered solutions.

Collaborative, growth-oriented environment.

Competitive compensation and opportunities for career advancement

Eligibility & process

Who can apply

Seniority: Mid-Senior level. Employment type: Full-time

Skills & stack

Python SQL FastAPI Flask REST APIs Microservices PostgreSQL MySQL

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, SQL, FastAPI, Flask, REST APIs, Microservices, PostgreSQL, MySQL) & 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 VectorStack 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 VectorStack as a Backend Python Developer?
Highlight VectorStack'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.
VectorStack Competitive Package
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