Top Tech Jobs & Startup Jobs in Seattle, WA

Lead strategy and modernization of Windows validation services; define standards, ensure secure, scalable architectures, mentor engineers, drive cross-team partnerships, and maintain high availability and observability for production systems.

Design, build, test, and operate cloud-native, AI-powered applications and services. Integrate Azure AI Foundry, Azure OpenAI, agentic frameworks, APIs, databases, and conversational/automation experiences. Collaborate across teams, apply Responsible AI and security standards, and use AI-assisted engineering tools to deliver scalable full‑stack solutions.

Lead SoC performance architecture for AI workloads: analyze bottlenecks with models, prototype performance and power optimizations on AI accelerators, develop and integrate SoC/IP models, and collaborate with design and verification teams to close on SoC performance.

Design, build, and scale the distributed compute and orchestration backbone for AI-driven vulnerability discovery and proof at Windows scale. Improve throughput, reliability, capacity planning, autoscaling, scheduling, and cost efficiency; build AI evals/benchmarks; own architecture and mentor engineers while coordinating with partner teams to deliver production-grade infrastructure.

Build and scale AI-driven vulnerability discovery systems: create AI evals/benchmarks, improve pipeline throughput and reliability, manage large-scale compute, capacity and orchestration for model hosting, and drive cost and billing/cost-of-goods modeling for Windows-scale autonomous security autopilots.

Design, build, and deploy machine learning and generative AI models for real-time identity threat detection. Develop data ingestion pipelines and distributed platforms, improve test coverage and monitoring (LiveSite), troubleshoot production incidents, and collaborate with data scientists to operationalize ML-driven security detections.

Design and build scalable distributed systems, drive features from ideation to global rollout, mentor engineers, lead reviews, improve reliability and engineering velocity using AI-enabled enhancements, collaborate with Microsoft Research and platform teams, and apply site-reliability engineering practices.

Lead and execute strategic partnerships across the Microsoft 365 Copilot ecosystem, owning partner lifecycle and platform initiatives. Align product, engineering, marketing and legal, negotiate deals, define KPIs, analyze market and industry trends, and drive joint go-to-market efforts to expand Copilot value and customer adoption.

Design, develop, and validate components of a massively scalable, distributed Azure Usage Billing platform. Work across service management, usage pipelines, monitoring, security, performance, tooling, SDKs, and live-site operations to ensure accurate billing and reliable cloud service operations.

Build and maintain secure, scalable cloud services for air-gapped and sovereign Azure AI environments. Implement automation, observability, testing, and resilient designs; develop deployment and validation tooling; participate in on-call rotations and incident remediation; use AI-assisted development tools; collaborate cross-team and incorporate customer feedback to improve platform reliability and velocity.