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Overview

Do you want to be part of something new and big? The  **Marketing Engineering team**  is building the platform that powers the next generation of marketing experiences for all of Microsoft. We are infusing AI throughout the process to radically change the way marketing content is generated, rendered and personalized.  As a **Principal Software Engineer** , you will play a key role in defining the technical vision and driving the execution of complex projects that impact millions of users globally. You will drive technical strategy, architect large-scale systems, and lead engineering initiatives that accelerate Microsoft’s ability to deliver exciting marketing experiences for our customers. This role is ideal for a senior technical leader who enjoys solving highly complex problems, shaping platform architecture, and influencing teams across engineering, data, and marketing disciplines.

This role offers the chance to work on innovative solutions, influence the technical direction of the team, and mentor other engineers to deliver scalable, secure, and reliable platforms. Join us to make a meaningful impact at Microsoft while working on cutting-edge technology.

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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

+ Lead the architecture, design, and delivery of large-scale, highly available, and secure marketing platforms and services.

+ Drive long-term technical strategy and guide the engineering roadmap for key marketing scenarios.

+ Partner with product, data science, and marketing stakeholders to define requirements, shape platform capabilities, and balance technical investments with business priorities.

+ Provide technical leadership across multiple engineering teams, mentoring senior and junior engineers.

+ Own end-to-end systems, from design to production monitoring, and ensure high performance, reliability, and operational excellence.

+ Establish and uphold engineering best practices, including coding standards, testing strategies, observability patterns, and deployment automation.

+ Evaluate and integrate emerging technologies, including AI-driven personalization, large-scale data processing, and advanced cloud architectures.

+ Influence cross-organizational initiatives and collaborate with partner teams across Microsoft.

+ Help identify opportunities to improve and optimize existing systems using generative AI.

+ Stay up to date with the latest trends and technologies in generative AI.

+ Embody our  Culture  (https://careers.microsoft.com/v2/global/en/culture) and  Values (https://www.microsoft.com/en-us/about)

Qualifications

Required Qualifications:

+ Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C# or Java

+ 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.

Preferred Qualifications:

+ 8+ years of experience as a software engineer, developing and shipping software in Python, C#, Java or modern language equivalent.

+ 7+ years of experience designing, building, and delivering complex, distributed, cloud-based systems at scale.

+ Proven experience leading engineering architecture, technical strategy, or cross-team initiatives.

+ Deep knowledge of system design, scalability, reliability, and performance optimization.

+ Experience with Azure or other cloud platforms (AWS, GCP).

+ Hands-on experience with API design, microservices, and event-driven or distributed architectures.

+ Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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:

https://careers.microsoft.com/us/en/us-corporate-pay

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. (https://careers.microsoft.com/v2/global/en/accessibility.html)