Job description

Overview Build the foundations of modern commerce Microsoft Commerce Platforms powers the services and data foundations behind offers, pricing, and transactions across first-party and third-party commerce experiences. We are modernizing shared platforms and data architecture to make commerce capabilities more scalable, reliable, intelligent, and easier to extend. We are hiring for both Senior Software Engineer and Principal Software Engineer roles. Role will be determined based on experience, technical depth, scope of impact, architectural leadership, and ability to influence engineering direction across teams. In these roles, you will build and evolve distributed services, APIs, and large-scale data platforms that support critical commerce experiences. You will work across engineering, product, and data science teams to solve complex technical problems, modernize shared capabilities, and apply data and AI to improve commerce and engineering outcomes. Join us to shape the future of Microsoft’s commerce platform by building resilient services, driving platform consistency, and enabling intelligent, data-driven decision-making at scale. This role requires you to be onsite 3 days a week in Microsoft’s offices in Redmond, WA. 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, and evolve scalable distributed services that support reliable commerce experiences across teams and products. • Develop APIs and high-scale data pipelines supporting areas such as offer lifecycle management, ingestion, data modeling, analytics, and real-time decision making. • Shape architecture and modernization efforts that standardize shared capabilities, reduce fragmentation, and improve platform consistency. • Build solutions designed for scalability, extensibility, performance, security, and operational reliability. • Partner with engineering, product, and data science teams to define requirements and translate customer and business needs into well-scoped technical solutions. • Apply data, machine learning, and AI to practical problems such as anomaly detection, forecasting, intelligent routing, automated insights, and engineering productivity. • Explore and build extensible LLM-based capabilities where they can meaningfully improve engineering and commerce outcomes. • Own service and model reliability through observability, testing, deployment, monitoring, incident response, and continuous improvement. • Evaluate new approaches through experimentation, data analysis, feature engineering, model evaluation, and production validation as appropriate. • Raise engineering standards through design and code reviews, technical mentorship, knowledge sharing, and hands-on delivery. Qualifications Required/minimum qualifications • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 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. Additional or preferred qualifications • Experience designing and building scalable distributed or cloud-based systems, including backend services, APIs, and service-oriented architectures. • Experience with cloud platforms such as Azure, AWS, or Google Cloud and building high-scale data pipelines or shared data models. • Understanding of software architecture, system design, scalability, performance, reliability, security, and operational excellence. • Experience with CI/CD, automated testing, observability, production monitoring, incident response, and operating services at scale. • Ability to evaluate complex technical trade-offs, troubleshoot distributed systems, and translate ambiguous business or customer needs into effective technical solutions. • Experience partnering across engineering, product, data science, and other cross-functional teams to deliver complex technical initiatives. • Experience with data-intensive systems and technologies supporting large-scale ingestion, processing, analytics, or real-time decision making. • Experience applying machine learning or AI to production scenarios such as anomaly detection, forecasting, intelligent routing, automated insights, or LLM-based automation. • Experience driving technical design, architecture, engineering standards, and modernization efforts, with the ability to influence technical decisions beyond an individual service or component. • Communication and collaboration skills, with experience sharing technical knowledge, conducting design and code reviews, and mentoring other engineers. • Experience with commerce domains such as offers, catalogs, pricing, payments, marketplaces, billing, or transactions. • Experience with large-scale data technologies such as Spark, Kafka, Databricks, or similar platforms. • Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. • Experience with experimentation, statistical modeling, feature engineering, model evaluation, or model lifecycle management. • Experience with generative AI, LLMs, AI-assisted software development, or other practical applications of AI in production environments. • Full-stack development experience with technologies such as React or TypeScript. 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 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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

Build the foundations of modern commerce
Join us to shape the future of Microsoft’s commerce platform by building resilient services, driving platform consistency, and enabling intelligent, data-driven decision-making at scale.
This role requires you to be onsite 3 days a week in Microsoft’s offices in Redmond, WA.
Design, build, and evolve scalable distributed services that support reliable commerce experiences across teams and products.
Develop APIs and high-scale data pipelines supporting areas such as offer lifecycle management, ingestion, data modeling, analytics, and real-time decision making.
Shape architecture and modernization efforts that standardize shared capabilities, reduce fragmentation, and improve platform consistency.
Build solutions designed for scalability, extensibility, performance, security, and operational reliability.
Partner with engineering, product, and data science teams to define requirements and translate customer and business needs into well-scoped technical solutions.
Apply data, machine learning, and AI to practical problems such as anomaly detection, forecasting, intelligent routing, automated insights, and engineering productivity.
Explore and build extensible LLM-based capabilities where they can meaningfully improve engineering and commerce outcomes.
Own service and model reliability through observability, testing, deployment, monitoring, incident response, and continuous improvement.
Evaluate new approaches through experimentation, data analysis, feature engineering, model evaluation, and production validation as appropriate.
Raise engineering standards through design and code reviews, technical mentorship, knowledge sharing, and hands-on delivery.
Required/minimum qualifications
Other Requirements
Experience designing and building scalable distributed or cloud-based systems, including backend services, APIs, and service-oriented architectures.
Experience with cloud platforms such as Azure, AWS, or Google Cloud and building high-scale data pipelines or shared data models.
Understanding of software architecture, system design, scalability, performance, reliability, security, and operational excellence.
Experience with CI/CD, automated testing, observability, production monitoring, incident response, and operating services at scale.
Ability to evaluate complex technical trade-offs, troubleshoot distributed systems, and translate ambiguous business or customer needs into effective technical solutions.
Experience partnering across engineering, product, data science, and other cross-functional teams to deliver complex technical initiatives.
Experience with data-intensive systems and technologies supporting large-scale ingestion, processing, analytics, or real-time decision making.
Experience applying machine learning or AI to production scenarios such as anomaly detection, forecasting, intelligent routing, automated insights, or LLM-based automation.

Nice-to-haves

Additional or preferred qualifications

Application prep

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

Keywords to mirror

aimachine learningllmjavajavascriptpythonazureawsci/cdreacttypescript

Platform: eightfold
Effort: medium