Job description

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. This is an individual-contributor Software Engineering role. Employees are expected to work onsite three days per week at Microsoft's offices in Redmond, Washington, or Charlotte, North Carolina. 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 improvement. • Mentor and collaborate with other engineers and contribute to design reviews, engineering best practices, operational excellence, and continuous improvement initiatives Qualifications Required/Minimum Qualifications • Bachelor's Degree in Computer Science or a related technical field AND 2+ years of technical engineering experience coding in languages and frameworks such as C#, JavaScript/TypeScript, ReactJS, Scala, Python, Java, and Rest APIs. Other Requirements • Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter. Preferred qualifications • Experience with cloud-native data platforms such as Microsoft Fabric, Azure Synapse, Azure Data Lake, or comparable cloud technologies. • Experience with modern web technologies, including intuitive interfaces and reusable backend capabilities. • Experience with Azure DevOps, including source control, build and release pipelines, and CI/CD practices. • Experience with software engineering fundamentals, including design, coding, testing, debugging, code reviews, and production support. • Experience or domain knowledge in direct and/or indirect procurement, including enterprise purchasing, sourcing, supplier, catalog, or related workflows OR experience with SQL, data modeling, and large-scale data processing using technologies such as Apache Spark, Delta Lake, or equivalent frameworks. • Hands on experience building AI-driven business solutions. • Analytical, problem-solving, communication, and cross-functional collaboration skills. • Experience building enterprise applications or platforms that support complex workflows and API integrations across multiple systems. • Experience building LLM-enabled applications, RAG solutions, AI agents, intelligent automation, or agentic workflows. • Understanding of security, privacy, accessibility, reliability, and Responsible AI principles. • Experience with automated testing, monitoring, telemetry, observability, and DevOps practices. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

This is an individual-contributor Software Engineering role. Employees are expected to work onsite three days per week at Microsoft's offices in Redmond, Washington, or Charlotte, North Carolina.
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 improvement.
Mentor and collaborate with other engineers and contribute to design reviews, engineering best practices, operational excellence, and continuous improvement initiatives
Required/Minimum Qualifications

Nice-to-haves

Experience with cloud-native data platforms such as Microsoft Fabric, Azure Synapse, Azure Data Lake, or comparable cloud technologies.
Experience with modern web technologies, including intuitive interfaces and reusable backend capabilities.
Experience with Azure DevOps, including source control, build and release pipelines, and CI/CD practices.
Experience with software engineering fundamentals, including design, coding, testing, debugging, code reviews, and production support.
Hands on experience building AI-driven business solutions.
Analytical, problem-solving, communication, and cross-functional collaboration skills.
Experience building enterprise applications or platforms that support complex workflows and API integrations across multiple systems.
Experience building LLM-enabled applications, RAG solutions, AI agents, intelligent automation, or agentic workflows.
Understanding of security, privacy, accessibility, reliability, and Responsible AI principles.
Experience with automated testing, monitoring, telemetry, observability, and DevOps practices.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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