Top Tech Jobs & Startup Jobs in Seattle, WA

Manage procurement and material management for multiple datacenter construction projects: run RFI/RFP processes, negotiate contracts and change orders, oversee supplier performance and compliance, collaborate with cross-functional stakeholders, and ensure SLA-driven deliverables.

Lead technical pre-sales engagements for Microsoft cloud database and analytics products. Deliver PoCs, demos, hackathons, and architecture workshops; design secure, scalable solutions; resolve technical blockers; collaborate with engineering; and evangelize Fabric, Databricks, Purview and Azure database technologies to accelerate customer migrations and adoption.

Drive technical sales and solution adoption through demonstrations, proofs of concept, hackathons, and architecture workshops. Partner with enterprise platform and engineering teams to design secure, scalable solutions using Microsoft Azure, Dynamics 365, Power Platform, and AI capabilities. Resolve technical blockers, influence solution architecture, support production deployments, build customer relationships, and represent Microsoft through technical thought leadership.

Provides technical leadership for AI framework and model-serving initiatives at cloud scale. Owns architecture, roadmaps, performance optimization, benchmarking, observability, and multi-release execution across models, compilers, runtimes, services, GPUs, and silicon. Leads cross-team alignment, makes architectural decisions, mentors engineers, performs hands-on implementation and debugging, and drives measurable improvements in model onboarding, runtime performance, reliability, hardware utilization, and Azure capacity efficiency.

Lead data science engagements with customers to acquire, clean, analyze, and model data; develop scalable operational models and evaluation methods; coach engineers on best practices; drive solution strategy, ethics, and industry thought leadership; write extensible code and collaborate across teams to deliver cloud-based AI solutions.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.

Leads the architecture and delivery of secure, scalable Azure cloud and AI solutions for enterprise customers. Designs AI-powered applications, copilots, and intelligent agents; translates business needs into technical roadmaps; leads architecture reviews and technical delivery; optimizes performance, cost, and scalability; and drives Azure adoption, consumption, and measurable business outcomes through customer engagements.

Leads technical security sales engagements through demonstrations, proofs of concept, hackathons, architecture workshops, and customer consultations. Designs secure, scalable cloud and hybrid architectures, resolves technical blockers, and advises customers on Microsoft Security solutions, including Defender and Sentinel. Develops security posture recommendations, supports XDR, zero trust, cloud security, and AI adoption strategies, while influencing technical decisions and representing Microsoft in developer communities.

Designs and delivers secure, scalable Azure infrastructure and cloud solutions for customers. Leads architecture sessions, migration and modernization initiatives, AI workload enablement, proofs of concept, and production milestones. Partners with technical and sales teams, resolves blockers, improves resiliency and performance, develops repeatable solutions, and drives customer adoption and business value. Requires strong customer-facing consulting, cloud architecture, technical project, and certification experience.