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Technical Lead – Full Stack Python/Django, React, Azure & AI

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Onsite

Technical Lead – Full Stack Python/Django, React, Azure & AI

Millennium Software and Staffing

Technical Lead – Full Stack Python/Django, React, Azure & AI

Skills

Data MiningReactDjangoPythonHTMLBootstrapMySQLAIGDPRJavascriptAzure

2 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

22 October 2026

What they need


Job Title: Full Stack Technical Lead – Python/Django, React & Azure

Location: Gurugram, Haryana, India

Employment Type: Full-Time

Job Summary

We are looking for an experienced Full Stack Technical Lead with strong Application Design experience to lead the design, architecture, development, and enhancement of our in-house recruitment application. The application aims to automate and streamline our recruitment processes.

The ideal candidate should have strong hands-on expertise in Python/Django, React, MySQL, and Microsoft Azure , along with proven experience designing scalable, secure, and high-performance application architectures. The candidate will be responsible for defining the technical architecture, making key technology decisions, leading the development team, and ensuring end-to-end solution delivery.

The candidate will also identify and implement practical AI/Generative AI, LLM, and AI-agent capabilities across our existing and future applications.

Required Skills and Experience

  • Have software development experience, including experience in a Technical Lead, Application Architect, or Senior Full Stack role .
  • Proven experience in designing application architecture and leading end-to-end solution design , beyond individual feature development.
  • Strong hands-on experience with Python, Django, and Django REST Framework (DRF).
  • Strong hands-on experience with React and JavaScript.
  • Good knowledge of MySQL, database design, data modeling, indexing, and query optimization.
  • Strong experience with Microsoft Azure, particularly Azure App Service, Azure Blob Storage, and Azure WebJobs.
  • Strong understanding of REST API design, system integration, authentication, authorization, and application security.
  • Experience designing scalable, reliable, maintainable, and high-performance full-stack applications.
  • Experience with Git, CI/CD pipelines, deployment automation, and release management.
  • Strong understanding of architectural patterns, modular design, separation of concerns, and software engineering best practices.
  • Experience leading technical discussions, reviewing architecture and code, mentoring developers, and driving technical decisions.
  • Strong analytical, problem-solving, communication, and stakeholder collaboration skills.

Key Responsibilities

  • Lead the end-to-end design, architecture, development, and enhancement of full-stack applications using Python/Django and React.
  • Design and define end-to-end application architecture , including frontend, backend services, APIs, database layers, integrations, and Azure infrastructure.
  • Translate business requirements into scalable technical solutions, architectural designs, technical specifications, and implementation plans.
  • Define application architecture, design patterns, coding standards, technology choices, and best practices.
  • Design scalable, secure, maintainable, and high-performance systems, considering availability, reliability, extensibility, and future growth.
  • Design and develop RESTful APIs using Django REST Framework (DRF), including API standards, authentication, authorization, and integration patterns.
  • Architect and develop responsive, user-friendly frontend applications using React, JavaScript, HTML5, CSS3, and Bootstrap.
  • Design database schemas, data models, relationships, indexing strategies, and query optimization approaches using MySQL.
  • Design and implement Azure-based application solutions using Azure App Service, Azure Blob Storage, Azure WebJobs, and other relevant Azure services.
  • Evaluate architectural trade-offs and identify opportunities to improve application performance, scalability, security, maintainability, and cost efficiency.
  • Lead technical design discussions, architecture reviews, code reviews, and technical decision-making.
  • Establish and manage Git workflows, CI/CD pipelines, release processes, and application deployment practices.
  • Ensure application security through appropriate authentication, authorization, secure coding, data protection, and access-control practices.
  • Lead, mentor, and guide developers while ensuring adherence to architectural standards and development best practices.
  • Troubleshoot complex production issues, perform root-cause analysis, and drive continuous technical improvements.
  • Identify and implement practical AI/Generative AI, LLM, automation, and AI-agent use cases within recruitment and other business workflows.
  • Evaluate AI integration approaches, including Azure OpenAI/OpenAI APIs, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
  • Help define the technical roadmap and architecture for AI integration across existing and future products.

AI/Generative AI Experience – Preferred

  • Experience with Generative AI, LLMs, and AI APIs.
  • Experience integrating AI capabilities into existing applications and business workflows.
  • Knowledge of Azure OpenAI/OpenAI, RAG, embeddings, vector databases, and AI agents.
  • Understanding of AI solution architecture, including model/API integration, data retrieval, security, scalability, and production deployment.
  • Ability to identify valuable business use cases and translate them into practical, secure, production-ready AI solutions.

Ideal Candidate Profile

The ideal candidate is a hands-on technical leader who can design the overall application architecture, make sound technical decisions, and lead the team from solution design through development, deployment, and production support . The candidate should be comfortable balancing architectural responsibilities with hands-on coding and guiding the adoption of AI capabilities where they deliver measurable business value.

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