Lead Software Engineer
- Compensation
- Not disclosed
- Location
- Mumbai
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Full description
Lead Software Engineer (Full Stack):
We are seeking a seasoned Lead Software Engineer (Full Stack) to lead the technical execution, engineering quality, and application architecture of our core digital platforms.
This role requires a full-stack developer at heartsomeone with deep mastery in .NET Core, React, and enterprise
SQL databases. You will be responsible for guiding engineering pods in designing and delivering full-stack solutions,
establishing coding standards, and driving high-impact features for the organization's digital ecosystem.
While hands-on full-stack mastery is the primary focus, you will also apply secondary expertise in Google Cloud
Platform (GCP) architecture and AI implementation models to ensure our platforms remain scalable, cloud-native,
and feature-rich.
Your Role:
- Primary Focus – Full Stack Architecture & Technical Leadership:
o Lead technical design, code reviews, and hands-on execution across both front-end (React) and
back-end (.NET Core) stacks.
o Architect scalable microservices, micro-frontends, and API gateways that handle high-volume
enterprise transactions efficiently.
o Lead database modeling, complex SQL optimization, data layer design, and transaction
management across enterprise data systems.
o Drive engineering best practices across teams: automated unit/integration testing, clean
architecture, design patterns, and application security.
o Mentor developers on full-stack techniques, code quality, and technical decision-making.
o Experience in using with tools like Visual Studio Code for development, BitBucket as source code repository
o Knowledge of either Mocha / Jasmine / Jest for Unit Testing
o Development experience in Agile Scrum model
- Secondary Focus – GCP Ecosystem & AI Capability Acceleration:
o Oversee application deployment strategies on Google Cloud Platform (GCP), ensuring high
availability, security, and cloud efficiency.
o Identify and architect integration patterns for AI/ML capabilities (such as Google Gemini, GenAI
pipelines, RAG patterns, or automated search) to elevate software platform capabilities.
o Partner with Solution Architects, Product Managers, and DevOps teams to refine technical
roadmaps and deliverable 2-week sprint plans.
What You Bring to the Role
- Education: Bachelor’s, Master’s, or equivalent advanced degree in Computer Science or technical