Job description

Overview Microsoft Clarity and Shopping operate at massive scale, processing large volumes of data to power rich product experiences and actionable insights for customers worldwide. We are looking for a Senior Software Engineer to design, build, and optimize scalable distributed systems and large-scale data platforms across both product areas. You will tackle challenging engineering problems spanning data ingestion, processing, storage, and serving, with a solid focus on performance, scalability, reliability, and cost efficiency. As a Senior Software Engineer , you will leverage artificial intelligence tools and modern engineering practices throughout the software development lifecycle to design, build, and deliver high-quality software solutions. You will partner with customers, stakeholders, and engineering teams to understand requirements, define architecture and testing strategies, and develop complex technical specifications. In this role, you will design and develop scalable data processing solutions and data pipelines that support large-scale Clarity and Shopping scenarios, with a strong focus on data quality, performance, reliability, and operational efficiency. You will write secure, maintainable, extensible, and well-tested code, use advanced debugging techniques to improve solution quality, and conduct code reviews to ensure adherence to engineering standards. Additionally, you will drive automation for deployment processes, collaborate across teams to manage dependencies and achieve shared goals, and implement security best practices that strengthen and secure solutions at every layer. Microsoft Clarity and Shopping operate at massive scale, processing large volumes of data to power rich product experiences and actionable insights for customers worldwide. We are looking for a Senior Software Engineer to design, build, and optimize scalable distributed systems and large-scale data platforms across both product areas. You will tackle challenging engineering problems spanning data ingestion, processing, storage, and serving, and rich product experiences with a solid focus on performance, scalability, reliability, and cost efficiency. 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.   AI Experiences employees who live within a 50- mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities • Design and build highly scalable, reliable, and maintainable backend and distributed data systems that support large-scale processing and business-critical scenarios. • Drive technical architecture and design, identify system dependencies, and influence engineering direction across backend services, data platforms, storage, and processing systems. • Partner with stakeholders and cross-functional engineering teams to translate product and data requirements into scalable technical designs and integration strategies. • Develop, debug, optimize, and evolve production systems to improve throughput, latency, scalability, reliability, maintainability, and cost efficiency. • Drive performance and cost optimization across backend services, distributed data platforms, storage systems, and high-volume data pipelines. • Proactively improve live-site reliability through better monitoring, observability, capacity planning, fault tolerance, performance, and operational practices. • Lead complex technical investigations and production incidents, coordinating effectively across engineering teams and stakeholders. • Mentor engineers, promote engineering best practices, and raise technical excellence across software engineering and data engineering disciplines. Qualifications Required 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. Preferred Qualifications: • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR equivalent experience. • Solid computer science fundamentals, problem-solving skills, and a solid understanding of software engineering principles. • 6+ years of software engineering experience, with a solid background in backend or full-stack development. • Experience designing and building scalable distributed systems, high-throughput services, telemetry systems, and large-scale data processing solutions. • Experience with cloud technologies, Kubernetes, and cloud-native architectures. • Experience with data engineering, including large-scale data pipelines, data platforms, storage, or distributed data processing. #MicrosoftAI 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

Design and build highly scalable, reliable, and maintainable backend and distributed data systems that support large-scale processing and business-critical scenarios.
Drive technical architecture and design, identify system dependencies, and influence engineering direction across backend services, data platforms, storage, and processing systems.
Partner with stakeholders and cross-functional engineering teams to translate product and data requirements into scalable technical designs and integration strategies.
Develop, debug, optimize, and evolve production systems to improve throughput, latency, scalability, reliability, maintainability, and cost efficiency.
Drive performance and cost optimization across backend services, distributed data platforms, storage systems, and high-volume data pipelines.
Proactively improve live-site reliability through better monitoring, observability, capacity planning, fault tolerance, performance, and operational practices.
Lead complex technical investigations and production incidents, coordinating effectively across engineering teams and stakeholders.
Mentor engineers, promote engineering best practices, and raise technical excellence across software engineering and data engineering disciplines.
6+ years of software engineering experience, with a solid background in backend or full-stack development.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

OR equivalent experience.
Solid computer science fundamentals, problem-solving skills, and a solid understanding of software engineering principles.
Experience designing and building scalable distributed systems, high-throughput services, telemetry systems, and large-scale data processing solutions.
Experience with cloud technologies, Kubernetes, and cloud-native architectures.
Experience with data engineering, including large-scale data pipelines, data platforms, storage, or distributed data processing.
#MicrosoftAI
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

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