Top Tech Jobs & Startup Jobs in Seattle, WA

Design, operate, and automate large-scale cloud and wide-area networks supporting Azure services. Troubleshoot live-site incidents, implement scalable routing and switching solutions (BGP, OSPF, MPLS, EVPN/VXLAN), participate in incident response and on-call, and collaborate across teams to improve performance, security, and automation in mission-critical, regulated environments.

Lead mixed-methods UX research to shape AI-powered monetization experiences. Drive multi-stage research, influence product strategy, collaborate cross-functionally, elevate research craft, and deliver user-centered insights that inform product decisions at scale.

Design, implement, test, and operate scalable, distributed commerce platform services. Estimate development costs, perform unit testing, diagnose and resolve technical issues, participate in product definition, and collaborate across teams to deliver reliable, high-quality software features.

Lead design and delivery of scalable AI and production software systems to resolve complex customer support issues. Own architecture, model pipelines (training, fine-tuning, RLHF), agent platforms, evaluation and telemetry, CI-driven production rails, privacy-preserving data redaction, and intelligent case-routing. Drive roadmap, governance, and customer supportability across cross-functional teams.

Lead development of auction and bidding algorithms for Microsoft Advertising: design and implement bidding strategies and auction mechanisms, run large-scale experiments, build automation and marketplace optimization systems, and develop causal and ML models to improve advertiser ROI and long-term marketplace health.

Lead definition of system and silicon architecture for Windows devices, translating workloads and product goals into SoC/system requirements. Drive silicon roadmaps, co-design across hardware and software teams, build workload/system models, define KPIs/tradeoffs (compute, memory, power, thermal, security), and align partners and engineering teams from early definition through silicon and product execution.

Design, build, and operate scalable AI and software systems to resolve customer support cases: agent platforms, LLM pipelines (training, fine-tuning, RLHF), evaluation frameworks, intelligent routing, privacy-preserving redaction, and production engineering rails (CI/CD, telemetry, security). Collaborate across teams to ship reliable, secure AI-powered support tools at fleet scale.

Design, develop, and operate large-scale, low-latency cloud services for hardware health and failure prediction. Evaluate and implement AI/ML solutions (LLMs, embeddings, RAG, fine-tuning) targeting firmware/hardware improvements. Participate in live service operations, telemetry integration, RCA-driven improvement, testing and automation, and ensure security, privacy, and compliance while collaborating on architecture and product engineering decisions.

Lead development and governance of Plan of Record and Integrated Master Schedules for global hyperscale datacenter programs. Establish scheduling standards and CPM-based bottom-up planning, perform schedule analytics and scenario modeling, drive change management and training, and advise senior leadership on planning strategy and portfolio schedule performance.

Lead platform bring-up and system debug for AI, compute, storage, networking, and accelerator hardware. Collaborate across silicon, firmware, hardware design, OS, manufacturing, and customers to plan pre-silicon bring-up, execute validation and test, triage NUDD issues, perform hands-on debugging, develop remote data-center debug methods, drive technical requirements, and influence platform architecture for quality, reliability, and performance.