Lead Software Engineer (Full Stack)
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Before you apply
LocationMumbai, India
Work modehybrid
Typefull-time
SeniorityLead
Experience5–8 yrs
Company size10,000+ people
PostedSep 23, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5-8+ years in software development
3+ years leading engineering pods or technical teams
Expert-level full-stack development experience with .NET Core / C#
Advanced mastery of React ecosystem (TypeScript, state management, performance optimization, modular UI)
Deep expertise in SQL / Relational Databases
Strong background in enterprise systems integration, API gateways, and CI/CD automation pipelines
Bachelor's, Master's, or equivalent advanced degree in Computer Science or technical discipline
Strong leadership, decision-making, and conflict resolution skills in Agile/Scrum environments
Exceptional communication skills to articulate technical strategies
Hands-on familiarity with cloud hosting on Google Cloud Platform (GKE, Cloud Run, Pub/Sub, Cloud SQL)
Strategic understanding of operationalizing AI/LLM tools (Google Gemini, OpenAI/Copilot, prompt engineering)
Skills
.NET Core
React
SQL
C#
TypeScript
Google Cloud Platform
GCP
GKE
Cloud Run
Pub/Sub
Cloud SQL
Visual Studio Code
BitBucket
Mocha
Jasmine
Jest
Google Gemini
OpenAI
Copilot
It’s fun to work in a company where people truly BELIEVE in what they’re doing!
About the role
Job Description:
Lead Software Engineer (Full Stack)
Ingram Micro is 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 heart—someone 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 Ingram Micro Xvantage™ 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
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Primary Focus – Full Stack Architecture & Technical Leadership:
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Lead technical design, code reviews, and hands-on execution across both front-end (React) and back-end (.NET Core) stacks.
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Architect scalable microservices, micro-frontends, and API gateways that handle high-volume enterprise transactions efficiently.
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Lead database modeling, complex SQL optimization, data layer design, and transaction management across enterprise data systems.
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Drive engineering best practices across teams: automated unit/integration testing, clean architecture, design patterns, and application security.
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Mentor developers on full-stack techniques, code quality, and technical decision-making.
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Experience in using with tools like Visual Studio Code for development, BitBucket as source code repository
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Knowledge of either Mocha / Jasmine / Jest for Unit Testing
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Development experience in Agile Scrum model
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Secondary Focus – GCP Ecosystem & AI Capability Acceleration:
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Oversee application deployment strategies on Google Cloud Platform (GCP), ensuring high availability, security, and cloud efficiency.
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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.
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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
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Education: Bachelor’s, Master’s, or equivalent advanced degree in Computer Science or technical discipline.
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Experience: 5-8+ years in software development with 3+ years leading engineering pods or technical teams.
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Core Technical Leadership (Primary Focus):
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Expert-level full-stack development experience utilizing .NET Core / C# for scalable backend engines and REST/gRPC services.
•
Advanced mastery of React ecosystem (TypeScript, state management, performance optimization, and modular UI architectures).
•
Deep expertise in SQL / Relational Databases, data architecture, index tuning, and distributed query performance.
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Secondary & Supporting Skills:
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Hands-on familiarity with cloud hosting and infrastructure on Google Cloud Platform (GCP) (GKE, Cloud Run, Pub/Sub, Cloud SQL).
•
Strategic understanding of how to operationalize AI/LLM tools (Google Gemini, OpenAI/Copilot, prompt engineering) within enterprise web applications.
•
Strong background in enterprise systems integration, API gateways, and CI/CD automation pipelines.
Specialized Knowledge & Skills
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Strong leadership, decision-making, and conflict resolution skills in Agile/Scrum environments.
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Proven ability to balance speed of delivery with long-term code maintainability and enterprise architecture standards.
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Exceptional communication skills with the ability to articulate technical strategies to both engineers and business stakeholders.