Technical Lead Full stack (Data)

Mumba Technologies, Inc.; India; Remote; INR 2,500,000 - 3,500,000; Full time

Job summary

Mumba Technologies, Inc. is seeking a Technical Lead Full Stack Engineer (Python, React, ETL, AWS & AI) for a permanent remote role. You will own end-to-end development of scalable backend services in Python and frontend in React, delivering data-driven AI-enabled features and robust ETL pipelines.

Lead architecture, collaborate with Product, Data Engineering, and Analytics, and drive production readiness, security, and performance across cloud-native AWS infrastructure.

Qualifications

• Strong Python development expertise for scalable backends.
• 50% Backend and 50% Frontend with Python and React.js.
• Hands-on end-to-end product development, architecture and deployment.
• Strong AWS experience including cloud-native and serverless.
• Solid PostgreSQL experience: design, queries, performance.
• Experience integrating LLMs, Generative AI into production apps.
• Understanding of APIs, microservices, ETL workflows, data platforms.
• Experience with large datasets, data warehouses and analytics systems.

Responsibilities

• Develop scalable backend services and APIs using Python.
• Design and build responsive frontend applications using React.js.
• Drive end-to-end product development from architecture to production deployment.
• Build and manage cloud-native applications and infrastructure using AWS.
• Design, maintain, and optimize PostgreSQL databases.
• Collaborate with Data Engineers and Analytics teams on data-driven apps.
• Integrate applications with APIs, data platforms and analytics systems.
• Support ETL workflows and data pipeline development.
• Develop reusable components, automation tools, and internal apps.
• Integrate LLMs, Generative AI, and AI-powered automation into business apps.
• Perform code reviews, testing, debugging, and performance optimization.
• Ensure security, scalability, reliability, and production readiness.

Skills

Python

React.js

AWS

LLMs / AI features

APIs & Microservices

PostgreSQL

ETL workflows

Tools

Python

React.js

AWS

Job description

Job Title :

Technical Lead Full Stack Engineer (Python, React, ETL, AWS & AI)

Work Location :

Remote

Work Type :

Permanent - Full Time

Job Qualification:

• Strong Python development expertise with experience building scalable backend systems.


• 50% Backend and 50% Frontend development experience using Python and React.js.


• Hands-on experience in end-to-end product development, architecture, development, integration, and deployment.


• Strong AWS experience, including cloud infrastructure, cloud-native, and serverless architectures.


• Solid PostgreSQL experience, including database design, schema management, query optimization, and performance tuning.


• Experience integrating LLMs, Generative AI, and AI-powered features into production applications.


• Strong understanding of APIs, microservices, ETL workflows, and data platforms.


• Experience working with large datasets, data warehouses, and analytics systems.


• Ability to independently own projects from design to production deployment.


• Experience collaborating with Product, Design, Data Engineering, and Analytics teams.


• Strong problem-solving, communication, and analytical skills with an ownership mindset.


• Passion for adopting AI tools to improve engineering productivity and workflows.

Key Responsibilities:

• Develop scalable backend services and APIs using Python.


• Design and build responsive frontend applications using React.js.


• Drive end-to-end product development, from architecture to production deployment.


• Build and manage cloud-native applications and infrastructure using AWS.


• Design, maintain, and optimize PostgreSQL databases.


• Collaborate with Data Engineers and Analytics teams to develop data-driven applications.


• Integrate applications with APIs, data platforms, and analytics systems.


• Support ETL workflows and data pipeline development.


• Develop reusable components, automation tools, and internal applications.


• Integrate LLMs, Generative AI, and AI-powered automation into business applications.


• Perform code reviews, testing, debugging, and performance optimization.


• Ensure application security, scalability, reliability, and production readiness.


• Take ownership of features and projects while working closely with cross-functional teams.