B
Bounteous
Python Fullstack Developer
Skills
MongoDBNextDockerReactTypescriptDjangoFlaskPythonAmazon EC2AWS LambdaKafkaGraphQLGitLabMachine LearningAIAWSGitHubKubernetesFastAPIAWS KinesisTerraform
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
12 August 2026
What they need
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.
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