Streamlit Python Developer

Job Summary

We are looking for an experienced Streamlit Python Developer with 5–7 years of hands-on experience in Python application development and building interactive web applications using Streamlit. The ideal candidate should have strong Python programming skills, experience developing data-driven applications and dashboards, and the ability to integrate APIs, databases, and AI/ML services into production-ready applications.

Key Responsibilities

• Design and develop interactive web applications and dashboards using Python and Streamlit.


• Build reusable and scalable Streamlit components and application modules.


• Develop REST APIs and integrate third-party/internal APIs with Streamlit applications.


• Work with databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.


• Integrate data-processing, analytics, AI/ML, and GenAI capabilities into Streamlit applications.


• Implement authentication, authorization, session management, and application-level security.


• Optimize application performance, responsiveness, and data-loading processes.


• Write clean, reusable, maintainable, and well-tested Python code.


• Perform unit testing, debugging, and troubleshooting of applications.


• Collaborate with data scientists, ML engineers, backend developers, QA, and business stakeholders.


• Deploy and maintain Streamlit applications in cloud environments such as AWS, Azure, or GCP.


• Use Git and CI/CD practices for source control, deployment, and release management.


• Participate in code reviews, technical discussions, and solution design.


• Mentor junior developers and contribute to development best practices.

Required Skills1. Python & Streamlit

• 5–7 years of professional experience in Python development.


• Strong proficiency in Python 3.x.


• Hands-on experience building production-grade applications using Streamlit.


• Strong understanding of Python OOP, data structures, exception handling, and modular development.


• Experience with Python libraries such as Pandas, NumPy, and other data-processing libraries.


• Ability to build reusable Streamlit components and interactive dashboards.

2. APIs, Data & Backend

• Strong experience with REST APIs and API integration.


• Experience with FastAPI, Flask, or Django is preferred.


• Strong SQL skills with PostgreSQL/MySQL.


• Experience with NoSQL databases such as MongoDB is a plus.


• Understanding of authentication, authorization, API security, and error handling.


• Experience integrating external services, APIs, and data sources.

3. Cloud & Deployment

• Experience deploying applications on AWS, Azure, or GCP.


• Good understanding of Docker and CI/CD pipelines.


• Experience with Git/GitHub/GitLab/Bitbucket.


• Understanding of Linux environments and application troubleshooting.


• Knowledge of application monitoring and performance optimization.

Good to Have

• Experience with Generative AI / LLM applications.


• Experience integrating OpenAI, Azure OpenAI, or other LLM APIs.


• Knowledge of LangChain, LlamaIndex, or similar frameworks.


• Experience with vector databases such as FAISS, Pinecone, or Azure AI Search.


• Experience building AI-powered chatbots, document Q&A applications, or RAG solutions.


• Knowledge of data visualization libraries such as Plotly, Matplotlib, or Altair.


• Kubernetes experience.


• Experience with enterprise authentication such as OAuth2, SSO, or Azure AD.