Software Engineers II / Senior Software Engineers, Commerce Platforms

Microsoft•Redmond, WA

1d•$102,100 - $261,000•Hybrid

About The Position

Microsoft's Commerce Platforms organization builds and operates scalable, resilient, AI-powered commerce and financial platforms for customers, partners, suppliers, and employees globally. This individual-contributor role is for Software Engineers II and Senior Software Engineers who 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. The work spans frontend and backend development, APIs, workflow orchestration, data engineering, analytics, and AI-powered capabilities. Engineers build intuitive experiences, reusable platform services, reliable batch and streaming pipelines, and high-quality datasets. They also use AI-assisted engineering tools and emerging agentic workflows to improve development velocity, automate testing, modernize systems, and strengthen software quality and operational reliability. The role involves partnering across organizations to deliver secure, scalable, compliant solutions with measurable business impact. Employees are expected to work onsite three days per week at Microsoft's offices in Redmond, Washington, or Charlotte, North Carolina.

Requirements

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.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

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.
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 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.

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 to 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.