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.
• 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.
• 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.
  
  

Skills: python,cloud,databases,streamlit,data