Lead Engineer - R01571537

Brillio 2; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Brillio 2 in Bengaluru seeks a Lead Engineer with 4–6 years of hands-on Python full-stack experience. The role focuses on building scalable microservices using Django, Flask, or FastAPI, and delivering robust REST/GraphQL APIs.

You will lead end-to-end development with React (Context/Redux), optimize CI/CD pipelines, and manage Docker containers with Kubernetes to ensure scalable deployments. Proficiency with PostgreSQL, MongoDB, Redis, and PyTest is essential.

Qualifications

• Bachelor's degree in CS/IT/Software Eng or closely related field.
• Certifications in Python or web frameworks (Django/Flask) are a plus.
• 4–6 years of hands-on Python full-stack experience preferred.

Responsibilities

• Design and develop scalable microservices-based applications.
• Implement robust RESTful and GraphQL APIs for frontend/backend integration.
• Lead end-to-end full-stack solutions with React (Context/Redux).
• Configure and optimize CI/CD pipelines for automated deployments.
• Manage Docker containers and Kubernetes orchestration for scalability.
• Integrate PostgreSQL, MongoDB, and Redis for data management.
• Develop and maintain tests using PyTest for quality assurance.
• Collaborate with cross-functional teams to deliver features.

Skills

Python

Django/Flask/FastAPI

REST API

GraphQL

React (Context/Redux)

CI/CD

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

PyTest

Education

Bachelor's degree in CS/IT/SE

Python/web frameworks certification

Tools

Django

Flask

FastAPI

React

Redux

CI/CD tooling

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

PyTest

Job description

Lead Engineer

Experience Range: With at least 4 to 6 years of hands-on experience in Python fullstack engineering, including significant work with microservices architecture.

Key Responsibilities

• Design and develop scalable microservices-based applications using Python frameworks such as Django, Flask, or FastAPI
• Implement and maintain robust RESTful and GraphQL APIs to support seamless frontend and backend integration
• Lead end-to-end development of fullstack solutions, leveraging React (with Context and Redux) for dynamic user interfaces
• Configure and optimize CI/CD pipelines to enable automated and reliable deployments
• Manage containerization using Docker and orchestrate services with Kubernetes to ensure scalability and reliability
• Integrate and optimize database solutions including PostgreSQL, MongoDB, and Redis for high-performance data management
• Conduct comprehensive unit and integration testing using PyTest to ensure code quality and stability
• Collaborate with cross-functional teams to deliver impactful features, resolve technical challenges, and drive continuous improvement

Required Skills

• Expert-level Python programming with microservices architecture
• Extensive experience with Django, Flask, or FastAPI
• Proven expertise in REST API and GraphQL development
• Advanced skills in React, including React Context and Redux
• Experience with CI/CD pipeline configuration and management
• In-depth knowledge of Docker containerization
• Strong understanding of Kubernetes orchestration
• Database proficiency with PostgreSQL, MongoDB, and Redis
• Ability to develop and maintain comprehensive tests using PyTest

Preferred Skills

• Experience with advanced API security and authentication mechanisms
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Expertise in performance tuning and monitoring of microservices
• Experience with automated code quality tools and static analysis
• Contribution to open-source projects or technical communities
• Proficient in CSS, SCSS, and LESS for frontend styling

Desired Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
• Certification in Python development or web frameworks (such as Django or Flask)
• Certification in cloud computing or DevOps practices (such as AWS Certified Developer or Kubernetes Administrator)