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Senior Software Engineer, Full-Stack

$119.8k - $234.7k
Full-time

Microsoft Corporation

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 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.

Microsofts 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:

  • Bachelors 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:

  • Masters 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 Bachelors 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 $119800 - $234700 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 $160200 - $261000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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.


Required Experience:

IC

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