Full Stack Python Developer

We are hiring a Full Stack Python Developer
Experience: 3 to 6 years.
Mode:Hybrid- Bavdhan Pune office.
Notice Period: Immediate to 15 Day
Position Summary
We are seeking a Senior Full Stack Python Developer to design, develop, test, and maintain secure, scalable, and user-focused enterprise applications. The role requires advanced Python and FastAPI/Flask capability, strong database knowledge, practical frontend development skills, cloud development experience, and familiarity with AI-enabled application frameworks. The developer will contribute across the complete software lifecycle, from solution design and implementation to testing, deployment, documentation, and production support.
Key Responsibilities
Full Stack Application Developmentpwc
Design and develop end-to-end web applications using Python, FastAPI or Flask, JavaScript/TypeScript, HTML, CSS, and Jinja2.
Build modular, maintainable backend services and intuitive, responsive user interfaces.
Develop server-side rendered interfaces using Jinja2 and support dynamic rendering using React where required.
Translate business and functional requirements into reliable technical solutions.
Integrate LangChain and LangGraph into enterprise applications for retrieval, orchestration, and workflow use cases.
Implement vector search, embeddings, document retrieval, and Retrieval-Augmented Generation components where applicable.
Build lightweight prototypes or internal tools using Streamlit when suitable.
API and Data Layer Development
Design, implement, document, and maintain RESTful APIs and application integrations.
Create validated data models and schemas using Pydantic, ORM models, dataclasses, SQLAlchemy, and SQLModel.
Design and optimize solutions using relational databases, MongoDB, SQLite, and vector databases.
Implement efficient queries, indexing, transactions, migrations, and data-access patterns.
Cloud, CI/CD and Development Environment
Develop and support applications hosted on Azure or AWS, with attention to security, reliability, usage, and cost control.
Create and maintain GitHub Actions workflows for automated build, test, quality checks, and deployment.
Use Docker and DevContainers to establish repeatable development environments.
Configure and maintain effective local development workflows using VS Code and modern Python tooling.
Quality and Engineering Practices
Write unit and integration tests using Pytest and support API and end-to-end validation.
Apply code quality, formatting, linting, typing, and dependency-management practices using ty, Ruff, uv, and related Python tools.
Participate in code reviews, troubleshooting, performance improvements, secure coding, and technical documentation.
Collaborate with product owners, architects, UX contributors, developers, DevOps engineers, and business stakeholders.
Core Competencies
End-to-end ownership of application design, development, testing, deployment, and support.
Strong understanding of API design, data modelling, application architecture, and secure integration patterns.
Ability to troubleshoot issues across frontend, backend, database, cloud, and deployment layers.
Ability to balance code quality, delivery speed, maintainability, performance, and cloud cost.
Clear communication, documentation, collaboration, and stakeholder engagement.
Preferred Qualifications and Experience
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
Preferably 4 - 5 years of software development experience, including hands-on Python full stack development.
Experience developing and deploying enterprise web applications in Azure or AWS environments.
Experience integrating SQL/NoSQL databases, third-party APIs, and AI-enabled components.
Experience working in Agile teams and contributing to estimation, planning, reviews, and technical documentation.
Good-to-Have Knowledge
OAuth2, OpenID Connect, Azure identity services, or equivalent authentication and authorization patterns.
Microservices, asynchronous processing, background jobs, and event-driven integration.
Observability, application monitoring, logging, vulnerability management, and secure software development.
Kubernetes fundamentals and infrastructure-as-code awareness.
User experience principles and frontend testing.
Evaluation Focus
Python and FastAPI/Flask coding proficiency.
Ability to explain the architecture and business context of previously delivered projects.
Frontend integration and dynamic rendering fundamentals.
Database modelling, query design, and API integration.
Testing, code quality, GitHub Actions, and release practices.
Cloud deployment understanding and practical troubleshooting.
Exposure to LangChain/LangGraph and vector database use cases.

Work arrangement
Hybrid