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.