Senior Computer Architect - Architecture Analysis
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![]() United States, Oregon, Hillsboro | |
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OverviewAs part of the Systems Planning and Architecture (SPARC) group, you will help strategize and architect compute platforms, storage and related technologies that create advantages for Azure and Microsoft. You will collaborate across the Azure organization to evaluate next-generation datacenter technologies, influencing internal Microsoft silicon, systems development and industry partners. You'll be at the forefront of innovation, shaping the future of cloud infrastructure. You will play a critical role in identifying and analyzing architectural features for future datacenter platforms and SOC technologies. Your work will directly impact Microsoft's cloud strategy, enabling smarter decisions for total cost of ownership, performance, power, cost, and sustainability. You'll gain deep expertise in cloud usage, emerging technologies, and architectural modeling, with opportunities for continuous learning and growth. This is a hybrid role, supporting flexible work with up to 40%-time work from home. 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.
ResponsibilitiesDevelop engineering-quality high-level models to evaluate total cost of ownership (TCO), performance, power, and sustainability, enabling data-driven decisions to assess and compare platform and SOC technologies for future datacenter solutions. Build KPI models for Azure SaaS segments (such as M365, MS-SQL, and CosmosDB) to guide architecture decisions and enable effective hardware/software co-design. Analyze cloud workload taxonomy to identify and categorize different workload types, and determine which SOC or platform features best support each workload category, enabling targeted architectural recommendations for optimal performance and efficiency. Analyze fleet telemetry data to enhance Total Cost of Ownership (TCO) models.Support the development of sustainability metrics and integration into architectural tradeoffs. |