Overview
Microsoft's Commerce Platforms organization builds and operates scalable, resilient, and AI-powered commerce and financial platforms that support customers, partners, suppliers, and employees globally. We are looking for Software Engineers II and Senior Software Engineers to design, build, and operate modern cloud-native applications, distributed services, and large-scale data systems that turn complex data and workflows into trusted experiences and actionable insights.
In this role, you will work across frontend and backend development, APIs, workflow orchestration, data engineering, analytics, and AI-powered capabilities. You will build intuitive experiences, reusable platform services, reliable batch and streaming pipelines, and high-quality datasets.
You will also use AI-assisted engineering tools and emerging agentic workflows to improve development velocity, automate testing, modernize existing systems, and strengthen software quality and operational reliability. You will partner across organizations to deliver secure, scalable, compliant solutions with measurable business impact.
Candidates who live within 50 miles of Microsoft's Redmond campus will be required to work in the office 3 days per week.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Design, build, test, deploy, and operate scalable, secure, and highly reliable cloud-native applications, distributed services, and data platforms.
- Develop end-to-end experiences using C#, JavaScript/TypeScript, ReactJS, Azure services, REST APIs, and modern web technologies, including intuitive interfaces and reusable backend capabilities.
- Build reusable and robust data processing frameworks, data models, metrics, and data contracts that support evolving analytical and business requirements.
- Build intelligent experiences using Generative AI, Retrieval-Augmented Generation RAG, AI agents, semantic search, and workflow orchestration where appropriate.
- Translate complex requirements into high-quality technical designs and scalable solutions.
- Create and own architecture proposals, implementation plans, engineering documentation, and operational readiness plans.
- Modernize platforms to improve scalability, resiliency, observability, security, compliance, accessibility, maintainability, and developer productivity.
- Use Azure DevOps, CI/CD, automated testing, code reviews, secure development practices, and AI-assisted engineering tools to maintain high engineering standards.
- Improve live-site health through monitoring, telemetry, troubleshooting, incident response, automation, performance optimization, and continuous i
