Lead Software Engineer (Full Stack)

About the role

Ingram Micro is looking for a seasoned Lead Software Engineer (Full Stack) to lead the technical execution, engineering quality and application architecture of its core digital platforms. The role focuses on guiding engineering pods in building full-stack solutions for the Ingram Micro Xvantage digital ecosystem, with deep mastery of .NET Core, React and enterprise SQL databases, and secondary expertise in Google Cloud Platform architecture and AI implementation.

Key responsibilities

• Lead technical design, code reviews and hands-on execution across React and .NET Core stacks
• Architect scalable microservices, micro-frontends and API gateways for high-volume enterprise transactions
• Lead database modeling, SQL optimization, data-layer design and transaction management
• Promote engineering best practices: automated unit/integration testing, clean architecture, design patterns and application security
• Mentor developers on full-stack techniques, code quality and technical decisions
• Deploy applications on Google Cloud Platform (GCP) with high availability and security
• Design AI/ML integration patterns such as Google Gemini, GenAI pipelines, RAG and automated search
• Partner with Solution Architects, Product Managers and DevOps teams on roadmaps and 2-week sprint plans

Required profile

• Bachelor's, Master's or equivalent advanced degree in Computer Science or a technical discipline
• 5-8+ years in software development, including 3+ years leading engineering pods or technical teams
• Experience with Visual Studio Code and BitBucket; knowledge of Mocha/Jasmine/Jest for unit testing
• Agile Scrum experience

Required skills

• .NET Core / C# for scalable backends and REST/gRPC services
• React with TypeScript, state management and performance optimization
• SQL and relational databases, index tuning and distributed query performance
• GCP (GKE, Cloud Run, Pub/Sub, Cloud SQL)
• Enterprise systems integration, API gateways and CI/CD pipelines
• Understanding of AI/LLM tools (Google Gemini, OpenAI/Copilot, prompt engineering)