Ingram Micro

Lead Software Engineer (Full Stack)

India · Hybrid · Full time

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About the role

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EmployerIngram Micro
LocationIndia
Work styleHybrid
Employment typeFull time
Employer posted23 Sep 2026

It's fun to work in a company where people truly BELIEVE in what they're doing!

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.

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Your Role

Primary Focus – Full Stack Architecture & Technical Leadership:

Lead technical design, code reviews, and hands-on execution across both front-end (React) and back-end (.NET Core) stacks.
Architect scalable microservices, micro-frontends, and API gateways that handle high-volume enterprise transactions efficiently.
Lead database modeling, complex SQL optimization, data layer design, and transaction management across enterprise data systems.
Drive engineering best practices across teams: automated unit/integration testing, clean architecture, design patterns, and application security.
Mentor developers on full-stack techniques, code quality, and technical decision-making.
Experience in using with tools like Visual Studio Code for development, BitBucket as source code repository
Knowledge of either Mocha / Jasmine / Jest for Unit Testing
Development experience in Agile Scrum model

Secondary Focus – GCP Ecosystem & AI Capability Acceleration:

Oversee application deployment strategies on Google Cloud Platform (GCP), ensuring high availability, security, and cloud efficiency.
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.
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 discipline.
Experience: 5-8+ years in software development with 3+ years leading engineering pods or technical teams.
Core Technical Leadership (Primary Focus):

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.

Secondary & Supporting Skills:

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

Strong leadership, decision-making, and conflict resolution skills in Agile/Scrum environments.
Proven ability to balance speed of delivery with long-term code maintainability and enterprise architecture standards.
Exceptional communication skills with the ability to articulate technical strategies to both engineers and business stakeholders.

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