Software Engineering - Microsoft Commerce - Offers and Data Model

United States, Washington, Redmond💼 Full-time🗓 2026-07-09 → 2026-07-16

Core

Design and build scalable, reliable distributed systems supporting commerce platforms including Offers, Catalog, CommerceIQ, and transactional systems.

Role type

Senior Software Engineer (Distributed Systems & AI Integration)

Builds

High-scale services, data pipelines for offer lifecycle, and AI-driven capabilities like anomaly detection and intelligent routing.

Domain

E-commerce / Cloud Infrastructure / AI Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Distributed systems design, API development, cloud platform expertise, AI tool integration, full-stack application development, data pipeline engineering, system modernization, performance optimization, operational excellence, cross-functional collaboration

Preferred skills

AI/ML/Data Science exposure, experience with intelligent features, curiosity for continuous learning in AI

Technologies

Azure, C, C++, C#, Java, JavaScript, Python

Responsibilities

Develop and maintain high-scale services and data pipelines for offer ingestion and data modeling; Build and integrate AI-driven capabilities such as anomaly detection and intelligent routing; Contribute to platform modernization by improving system consistency and enabling reusable capabilities; Collaborate across engineering, product, and data science teams to deliver end-to-end solutions

Seniority

Senior, hands-on IC

Rewrite

## About the role - Design and build scalable, reliable distributed systems supporting commerce platforms such as Offers, Catalog, CommerceIQ, and transactional systems - Develop and maintain high-scale services and data pipelines for offer lifecycle, ingestion, and data modeling - Leverage AI-assisted engineering tools and modern development practices to accelerate development, improve code quality, and increase engineering productivity - Build and integrate AI-driven capabilities such as anomaly detection, intelligent routing, and insights into commerce platforms - Contribute to platform modernization by improving system consistency and enabling reusable platform capabilities - Ensure high standards for reliability, performance, and operational excellence - Collaborate across engineering, product, and data science teams to deliver end-to-end solutions ## Requirements - Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. background check upon hire/transfer and every two years thereafter. - Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - Experience building full stack applications and distributed systems (backend services, APIs, and/or frontend) - Familiarity with cloud platforms (Azure preferred), APIs, and service-oriented architecture - Communication and stakeholder management skills. ## Nice to have - Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence. - Exposure to AI/ML/Data Sciences or data-driven systems, including working with models, data pipelines, or intelligent features

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