Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the global analytics strategy for Microsoft’s colocation capacity organization, owning executive metrics, OKR reporting, governance, forecasting, heatmaps, and decision-support products for a 480 MW capacity goal. Establishes trusted data frameworks, develops predictive and AI-assisted solutions, identifies portfolio risks, and drives cross-functional decisions. Provides technical leadership, mentors data professionals, and partners with senior leaders across capacity planning, engineering, deployment, finance, operations, and product teams.

Build, improve, and operate scalable, highly reliable cloud security services for sovereign and government environments. Responsibilities include cloud and infrastructure development, service automation, production issue investigation, deployment of fixes, reliability improvements, and participation in a secure-facility on-call rotation. The role collaborates with engineering, security, program management, and data science teams while supporting complex government cloud environments and maintaining stringent security clearances.

Lead architecture and technical direction for reliability, observability, and operational health across a globally distributed AI platform. Design telemetry, health monitoring, capacity management, routing safeguards, overload protection, progressive delivery, fault testing, automated rollback, tracing, diagnostics, and recovery capabilities. Drive cross-team initiatives, mentor engineers, improve production practices, and build scalable infrastructure for AI inference and distributed services.

Build and deploy AI agents, workflow automations, and full-stack enterprise solutions using Microsoft Power Platform, Azure AI, Microsoft 365, GitHub, and code. Partner with business stakeholders to redesign processes, translate ambiguity into products, prototype rapidly, and manage solutions through launch, adoption, support, and iteration. Measure business impact while applying security, privacy, responsible AI, testing, monitoring, and lifecycle-management practices. Collaborate globally, create reusable technical patterns, and mentor peers.

Provide technical support for complex customer issues involving newly launched Microsoft products and cloud technologies. Own and triage cases, reproduce issues using logs, traces, and test environments, investigate root causes, communicate clearly with customers, and escalate well-defined problems to engineering teams. Create troubleshooting guides and knowledge-base content, mentor support engineers, and contribute to product readiness and supportability.

Leads and grows a multidisciplinary applied science team advancing agentic AI in Excel. Sets research strategy, develops agent architectures and evaluation systems, integrates frontier models, and establishes release-readiness criteria. Drives improvements in quality, latency, reliability, safety, and cost while translating research into production capabilities. Partners with engineering, product, design, model teams, and external AI laboratories; communicates recommendations to senior leadership and supports publications, patents, and technical talent development.

Prepare and review customer contract assessments under ASC 606, evaluate amendments, calculate revenue adjustments, perform month-end close activities, and advise business partners on revenue policies. The role collaborates with Deal Desk, reviews peer work, identifies deal trends, and supports accurate global revenue reporting.

Secure Windows products and devices through offensive security research, code and design reviews, penetration testing, vulnerability discovery, fuzzing, and mitigation development. Build reusable security review tools, identify vulnerabilities in operating system features and native applications, collaborate with Windows engineering teams on durable defenses, engage security researchers, and communicate the business value of security investments.

Design, implement, and operate high-performance, low-latency distributed ad serving systems hosting machine learning models. Lead feature design, code review, performance profiling, capacity planning, automation, and on-call operations to meet SLA, security, and reliability goals.

Lead strategic, cross-company technical programs spanning engineering, research, product, and business organizations. Translate emerging technologies and executive direction into actionable initiatives, operating models, roadmaps, governance, and measurable outcomes. Drive decision-making, manage dependencies and risks, establish execution mechanisms, and influence senior stakeholders without direct authority to advance Microsoft’s long-term technology priorities.