Full Stack Lead - Python/.Net/React.js

Role : Full Stack Lead

Experience : 10 to 12 Years

Location : Hyderabad, Telangana, India

Employment Type : Full-time

Work Model : On-site / Hybrid

Technical Leadership &

• Architecture :
• Lead the end-to-end architecture, design, development, testing, deployment, and maintenance of scalable full-stack enterprise applications.
• Translate business and functional requirements into robust technical solutions, architecture diagrams, technical specifications, and implementation plans.
• Provide hands-on technical leadership across frontend, backend, database, cloud, integration, and AI-enabled application components.

Frontend Development :

• Design and develop scalable, responsive, accessible, and high-performance user interfaces using React.js and TypeScript.
• Build reusable React components, application modules, hooks, and frontend architectures following industry best practices.
• Implement effective state management and ensure maintainable frontend application architecture.
• Work with Angular for hybrid applications, legacy modernization, and enterprise frontend ecosystems.
• Develop enterprise-grade UI using component libraries and design systems such as PrimeReact, MUI (Material UI), or comparable frameworks.
• Collaborate with UX/UI designers and product teams to review designs and recommend improvements related to usability, accessibility, responsiveness, and performance.
• Ensure consistent UI/UX standards across different modules and applications.
• Optimize frontend performance through effective component design, lazy loading, caching, API optimization, and efficient state management.

Backend Development :

• Design and develop scalable backend services and RESTful APIs using .NET Core and Python.
• Develop enterprise-grade APIs using ASP.NET Core, Web API, and Python-based frameworks.
• Implement microservices-based architectures and establish appropriate service boundaries and integration patterns.
• Use Python for data processing, automation, AI/ML integrations, API development, and intelligent application workflows.
• Collaborate with data and AI engineering teams to integrate Python-based AI capabilities into enterprise applications.

Generative AI &

• Intelligent Applications :
• Drive the adoption of Generative AI capabilities across enterprise applications.
• Design and implement AI-powered features using LLM APIs, prompt engineering, RAG, embeddings, and intelligent automation.
• Integrate LLM-based capabilities into existing web applications, backend services, and enterprise workflows.
• Develop prompt workflows and reusable AI components for business-specific use cases.
• Implement Retrieval-Augmented Generation (RAG) solutions for contextual search and knowledge retrieval.
• Stay current with emerging AI technologies, LLM platforms, agent-based architectures, and enterprise AI development practices.

Agentic AI Nice to Have :

• Exposure to Agentic AI frameworks and multi-agent orchestration is highly desirable.
• Experience with frameworks such as LangGraph, LangChain, or similar agent-based orchestration frameworks will be an advantage.
• Understanding of AI agents, tool calling, workflow orchestration, memory, planning, and multi-step reasoning workflows is preferred.
• Experience designing enterprise applications that combine traditional APIs with AI agents will be an added advantage.

Database &

• Backend Fundamentals :
• Design and optimize relational and NoSQL database solutions.
• Work with databases such as SQL Server, PostgreSQL, MySQL, Oracle, MongoDB, or comparable technologies.
• Develop efficient queries, stored procedures, indexes, data models, and database integrations.
• Troubleshoot database performance issues and optimize application-to-database interactions.
• Implement appropriate caching strategies and performance optimization techniques.
• Ensure data integrity, consistency, scalability, and security across applications.

Team Leadership &

• Mentoring :
• Lead and mentor a team of full-stack developers and provide day-to-day technical guidance.
• Conduct code reviews and ensure adherence to coding, architecture, security, and testing standards.
• Identify technical gaps and provide mentoring, knowledge-sharing sessions, and development guidance.
• Break down complex requirements into actionable development tasks.
• Participate in sprint planning, estimation, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Provide technical estimates, resource planning, effort estimation, and delivery timelines.
• Track technical risks, dependencies, and delivery challenges and proactively communicate them to stakeholders.

Required Skills &

Experience :

• 10 to 12 years of overall software/full-stack development experience.
• Minimum 2 to 3 years of experience as Technical Lead, Team Lead, Full Stack Lead, or equivalent technical leadership role.
• Strong hands-on experience with React.js and modern frontend development.
• Strong proficiency in TypeScript.
• Good hands-on experience with Angular.
• Experience with PrimeReact, MUI (Material UI), or comparable enterprise UI component libraries.
• Strong backend development experience with .NET Core / ASP.NET Core / C#.
• Strong working knowledge of Python for APIs, services, automation, data processing, or AI integration.
• Strong understanding of REST APIs, microservices, authentication, authorization, caching, and performance optimization.
• Practical experience integrating Generative AI/LLM capabilities into enterprise applications.
• Experience with one or more of LLM APIs, prompt engineering, RAG, embeddings, vector databases, or AI-powered automation.
• Strong database experience with SQL and/or NoSQL databases.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience with Docker and Kubernetes is preferred.
• Strong understanding of CI/CD and DevOps practices.
• Excellent troubleshooting, analytical, communication, and problem-solving skills.
• Proven ability to lead, mentor, and technically guide engineering teams.