Fullstack Developer ( Python / React / MongoDB / AWS)

Bounteous; Gurugram District, Bengaluru; Hybrid; INR 2,800,000 - 4,500,000; Full time

Job summary

Bounteous is seeking a Senior Full Stack Developer in Gurugram to design, build, and maintain scalable cloud-native applications. You will own end-to-end feature delivery, architect robust Python backend services and APIs, and deliver high-performance React frontends using MongoDB data stores.

You will work with AWS and Terraform to manage infrastructure and collaborate with cross-functional teams in an Agile environment.

Qualifications

• 6+ years of full‑stack development experience.

Responsibilities

• Design, build, and maintain scalable cloud-native applications.
• Own end-to-end feature delivery from backend to frontend.
• Develop robust Python backend services and RESTful APIs.
• Build scalable React frontends with TypeScript and modern hooks.
• Collaborate with architects, product owners, and cross-functional teams.

Skills

Python

React.js

MongoDB

AWS

Terraform

FastAPI/Flask/Django

TypeScript

Redux Toolkit/React Query/Context API

GraphQL

Jest/RTL/Cypress

Pytest

Black/Flake8/MyPy

Redis

GitLab CI/GitHub Actions

Storybook

Tools

FastAPI

Flask

Django

React

TypeScript

MongoDB Atlas

AWS (EC2/ECS/EKS/Lambda)

Terraform

Redis

GraphQL

Storybook

Jest/RTL

Cypress/Playwright

Job description

Job Description

About the Role

We are looking for a Senior Full Stack Developer with 6+ years of experience in Python, React.js, MongoDB, AWS, and Terraform to design, build, and maintain scalable cloud-native applications. You will own end-to-end feature delivery architecting robust Python backend services and APIs alongside high-performance React frontends — backed by MongoDB data stores and deployed on AWS using Terraform-managed infrastructure. You will collaborate closely with architects, product owners, and cross-functional engineering teams to deliver high-quality, secure, and maintainable full stack solutions in an Agile environment.

Key Responsibilities

Backend – Python

• Design, develop, and maintain scalable Python backend services and RESTful APIs using FastAPI, Flask, or Django — applying clean architecture, SOLID principles, and production-grade best practices.
• Build asynchronous backend services using Python async frameworks for high-throughput, low-latency workloads.
• Implement background task processing using Celery — ensuring reliable, scalable execution of long-running and scheduled jobs.
• Write comprehensive unit and integration tests using Pytest — maintaining high code coverage and regression confidence across all backend deliverables.
• Enforce code quality standards using Black, Flake8, and MyPy — contributing to a clean, well-typed, and consistently formatted Python codebase.

Frontend – React

• Design and develop scalable, high-performance React.js applications using TypeScript and modern hooks — delivering accessible, responsive, and pixel-perfect user interfaces.
• Implement complex state management using Redux Toolkit, React Query, or Context API — ensuring predictable and performant application state across data-intensive frontends.
• Integrate React frontends with Python backend REST APIs and GraphQL services — managing asynchronous data flows, error handling, loading states, and cache strategies.
• Build reusable, well-documented React component libraries aligned to design system standards — using Storybook where applicable.
• Write comprehensive unit, component, and E2E tests using Jest, React Testing Library, and Cypress / Playwright.

MongoDB & Data

• Design and implement MongoDB data models — applying document schema design best practices, embedding vs referencing strategies, and indexing for query performance.
• Build and optimise MongoDB aggregation pipelines for complex data transformation, reporting, and analytics use cases.
• Manage MongoDB Atlas cloud database — configuration, monitoring, scaling, backup, and performance tuning.
• Implement Redis caching strategies — session management, API response caching, and rate limiting for high-traffic application workloads.
• Collaborate with data engineers and architects to design efficient data access patterns across MongoDB and relational database stores.

AWS & Terraform

• Design and deploy cloud-native full stack applications on AWS — leveraging EC2, ECS, EKS, Lambda, S3, DocumentDB, SQS, SNS, and API Gateway.
• Provision and manage AWS infrastructure using Terraform — developing reusable, modular Terraform configurations for reproducible, version-controlled cloud resource management.
• Implement AWS security best practices — IAM least-privilege policies, KMS encryption, Secrets Manager, and Cognito authentication — across frontend and backend application layers.
• Build and maintain serverless application components using AWS Lambda and Step Functions — designing event-driven, auto-scaling workloads for appropriate use cases.
• Configure AWS monitoring and observability — CloudWatch dashboards, X-Ray tracing, structured logging, and alerting — to maintain production health and support rapid incident resolution.
• Implement and manage CI/CD pipelines using GitLab CI or GitHub Actions — automating build, test, Terraform plan/apply, and deployment workflows across Dev, Test, and Production environments.