Lead Software Engineer (Full Stack)

Responsibilities

• 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.
• Partner with Solution Architects, Product Managers, and DevOps teams to refine technical roadmaps and deliverable 2-week sprint plans.

Requirements

• 5-8+ years in software development with 3+ years leading engineering pods or technical teams .
• Specialized Knowledge & Skills Strong leadership, decision-making, and conflict resolution skills in Agile/Scrum environments.

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.

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.

What You Bring to the Role Education: Bachelor’s, Master’s, or equivalent advanced degree in Computer Science or technical discipline.

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.

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.