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Microsoft

cloud computing (Azure) · AI and machine learning (Copilot, CoreAI)

Senior Cloud Solution Architect

San Francisco Bay Area · Portland · Raleigh–Durham · OnsitePosted 6 days ago
InfrastructureSeniorFull TimeH-1B track record
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Design Azure cloud and hybrid architectures for the organization: scalable, secure, resilient, cost-efficient solutions across core Azure domains, translating business and technical requirements into concrete, buildable designs. Establish and document cloud architecture and security standards, reference architectures, and secure design patterns, turning your design work into authoritative guidance that ensure consistency while optimizing for performance, security, and cost. Drive adoption of standards and guardrails through influence, setting the patterns and enablement that make the secure, well-architected choice the default across engineering teams, and enforcing them through policy-as-code with Azure Policy. Serve as the authoritative advisor on cloud architecture and security: conduct design reviews, resolve risk and trade-off decisions, and guide teams on secure patterns without slowing delivery. Apply AI to accelerate the work, using AI assisted tooling across architecture design, threat modeling, review, and helping raise the bar for how the team adopts AI. Drive cross-functional collaboration with partner teams across the company on reviews, dependencies, and shared initiatives. Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 1+ year(s) technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 5+ years technical engineering experience OR equivalent experience. This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their US. residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable. Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience OR equivalent experience. 7+ years technical experience working with large-scale cloud or distributed systems. Direct experience with threat modeling and applied experience with the Azure Well-Architected Framework and Cloud Adoption Framework. Working proficiency with infrastructure-as-code and policy-as-code, and with scripting or query languages (PowerShell, Python, KQL). Excellent written and verbal communication skills. Certification in one or more of the following: Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional, Google Professional Cloud Architect, or equivalent cloud certifications. Experience applying secure-by-design principles and cloud security practices, including identity and access, network security, and data protection, in the design of cloud solutions. Experience developing and documenting architecture standards, reference architectures, or governance practices, and driving their adoption across engineering teams.

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