Principal Software Engineer
Microsoft
Principal Software Engineer
Redmond, Washington, United States
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Overview
At Web Data Document Processing & Rendering team, you'll play a key role in building cutting-edge batch and streaming systems as part of our platform that powers Bing Search and Microsoft AI training scenarios, empowers data scientists to seamlessly integrate their machine learning models, driving transformative insights at massive scale. Here you will be working with eye-popping scales, processing tens of billions of documents per day and managing hundreds of petabytes of data. The opportunity to make an impact on millions of users with each feature you ship is truly motivating.
In today's AI-driven world, where data is more valuable than ever, we're embarking on an exciting mission to elevate our platform, scaling it even further to unlock new possibilities and serve a growing array of use cases and customers. If you're passionate about building high-performance systems that shape the future of data processing, this is the place for you!
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.
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, C, C++, C#, Java, or Python
- OR equivalent experience.
- 3+ years of distributed platform 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
- Master'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, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
- OR equivalent experience.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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Responsibilities
- Partners with appropriate stakeholders to determine user requirements for a set of scenarios.
- Leads identification of dependencies and the development of design documents for a product, application, service, or platform.
- Leads by example and mentors others to produce extensible and maintainable code used across products.
- Leverages subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple group's project plans, release plans, and work items.
- Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.