Principal Architect for Search & AI Platform
Redmond, Washington, United States
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Full Time Senior-level / Expert USD 163K - 331K
Microsoft
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This is a rare opportunity to shape the foundational hardware and software that powers Bing. We're seeking a Principal Architect for Search and AI Platform - who will work directly with Azure to co-design server SKUs tailored for Bing’s intensive workloads.
The role includes defining technical specifications, benchmarking performance, and influencing decisions that impact the design of next-generation cloud platforms.
This position has the potential to drive major impact on Bing’s overall infrastructure cost and performance. By engineering tightly integrated solutions between software and hardware, you'll be setting new standards for how search services operate efficiently at scale.
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
- Partner with Azure engineers and Bing platform leads to co-design custom server SKUs and infrastructure.
- Profile and optimize Bing workloads for cost-effective cloud-native execution across compute, memory, and storage tiers.
- Identify bottlenecks and collaborate cross-functionally to improve performance and reduce operational costs.
- Apply deep technical insight to help drive decisions on virtualization, containerization, and orchestration at scale.
- Evangelize architectural best practices for running large-scale workloads in public cloud environments.
Qualifications
Required Qualifications:
- 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.
- 8+ years of experience in systems engineering, infrastructure performance tuning and cloud-native solution design.
- Deep understanding of cloud compute primitives and performance tuning at scale.
Preferred Qualifications:
- Extensive knowledge and experience in Kubernetes and containerized environments.
- In-depth understanding of operating system internals and networking fundamentals.
- A passion for building infrastructure that underpins critical search and AI services.
- Solid collaboration and communication skills to influence both internal engineering teams and Azure.
Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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 for the role until August 12, 2025.
Microsoft is an equal o pportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#MicrosoftAI #DistributedSystem #SoftwareOptimization #CloudNative #BING
Tags: Azure Computer Science Distributed Systems Engineering Java JavaScript Kubernetes Python
Perks/benefits: Medical leave
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