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Solution Engineer - Cloud & AI Software, Dev Tools, and AI

Job

Microsoft

Full-Time

Posted 5 weeks ago (Updated 4 weeks ago) • Actively hiring

Expires 5/27/2026

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Job Description

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Build trusted relationships with developers and platform leads as well as AI decision makers to co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices). Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR 3+ years technical pre-sales or technical consulting experience OR equivalent experience. This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience. 4+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
Experience with cloud-native development:
APIs, containers, microservices, event-driven design. Experience engaging enterprise development teams, including developers, architects, and technical decision makers. Proficiency in modern languages like JavaScript/TypeScript, Python, C#, or Java, and frameworks such as .NET, Node.js, or React. Hands-on expertise with GitHub, Visual Studio Code, CI/CD, DevOps, and platform engineering (e.g., observability, security, performance). Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

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