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Accolite Digital-Senior Full Stack Developer (Python + react)

Posted 5 Days Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Senior level
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Senior level
Own end-to-end delivery of scalable cloud-native full stack features: design and build Python backend services and APIs, develop TypeScript React frontends, model and optimise MongoDB data, and deploy/manage infrastructure on AWS using Terraform. Mentor juniors, participate in architecture reviews, enforce test coverage and code quality, and maintain CI/CD and observability for production systems.
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Senior Full Stack Developer (Python + react) – Gurugram/Bangalore

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.

Architecture & Delivery

Own end-to-end feature delivery — from MongoDB schema design and Python API development through to React UI implementation, testing, and AWS deployment.

Contribute to architectural discussions and technical design reviews — providing full stack perspective on feasibility, complexity, data modelling, and implementation trade-offs.

Collaborate with Solution Architects, UX Designers, Product Owners, QA Engineers, and DevOps teams in Agile sprint delivery.

Conduct thorough code reviews — providing constructive technical feedback across Python, React, and Terraform codebases.

Produce clear technical documentation — API contracts (OpenAPI / Swagger), MongoDB schema designs, Terraform module documentation, and architecture decision records.

Mentor and support junior full stack developers — sharing knowledge across Python, React, MongoDB, and AWS domains.

What We're Looking For

6+ years of full stack development experience with demonstrable hands-on expertise across Python backend, React frontend, MongoDB, AWS, and Terraform in production environments.

Strong Python proficiency — FastAPI, Flask, or Django — with proven REST API development, async programming, and clean architecture experience.

Solid React.js and TypeScript skills — Hooks, state management (Redux / React Query), API integration, and component architecture in large-scale production applications.

Deep MongoDB expertise — document schema design, aggregation pipelines, Atlas management, indexing, and query performance optimisation.

Strong AWS experience — EC2, ECS / EKS, Lambda, S3, SQS, SNS, IAM, API Gateway, and CloudWatch — in production cloud-native environments.

Proven Terraform skills — modular IaC design, remote state management, AWS resource provisioning, and CI/CD integration.

Experience with Docker and Kubernetes / EKS for containerised full stack application deployment.

Solid CI/CD experience — GitLab CI or GitHub Actions — for automated build, test, and deployment pipelines across frontend, backend, and infrastructure.

Strong understanding of software engineering fundamentals — SOLID principles, design patterns, TDD, clean architecture, and security best practices.

Excellent communication and collaboration skills — able to engage effectively with architects, product owners, and cross-functional teams.

Nice to Have

Experience with GraphQL API development — Strawberry / Ariadne (Python) and Apollo Client (React).

Familiarity with event-driven architecture — Apache Kafka, AWS EventBridge, or Kinesis.

Knowledge of GenAI / LLM integration — LangChain, LlamaIndex — for AI-augmented full stack application features.

Exposure to AWS Bedrock or SageMaker for AI / ML service integration.

Experience with Next.js for SSR / SSG alongside React.

Familiarity with Terragrunt for Terraform configuration management at scale.

AWS Certified Developer Associate or AWS Solutions Architect certification.

Experience in Financial Services, FinTech, Retail, or other regulated industry environments

About Accolite Digital:

Bounteous x Accolite was formed following the strategic merger of Bounteous and Accolite Digital in 2024, bringing together over 20 years of combined digital innovation expertise across India and the region.
Bounteous India is the India hub of Bounteous, a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes, taking AI from experimentation to enterprise scale.
With more than 5,000 team members worldwide, Bounteous helps organizations take AI from experimentation to enterprise scale. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building

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