Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and operate secure distributed systems, engineering platforms, tooling, and automation for security, compliance, sovereign cloud readiness, and developer productivity. Apply AI-first and agentic engineering practices, develop data-driven solutions, partner across organizations, influence technical strategy, and mentor engineers. The role involves hands-on implementation and operation of scalable Azure-based platforms and services.

Architects and develops hardware and platform security for AI accelerators and cloud infrastructure. Responsibilities include threat modeling, secure silicon design, security infrastructure architecture, AI-assisted security analysis, and debugging issues across subsystems throughout product development, manufacturing, supply chain, and deployment. The role requires collaboration across security, platform, architecture, and infrastructure teams.

Design, develop, and operate large-scale distributed software services for Microsoft Entra ID. Lead system design, engineering practices, testing, monitoring, reliability, security, automation, and performance optimization. Collaborate across teams to deliver scalable, maintainable cloud systems and troubleshoot live-site issues. The role also leads projects from conception through delivery and requires passing Microsoft’s Cloud Background Check.

Develops Copilot usage and quality metrics, product insights, instrumentation, and large-scale A/B experiments. Analyzes telemetry with statistical and machine-learning methods, builds data pipelines, evaluates feature performance, and communicates data-driven recommendations to leadership and cross-functional teams. Requires expertise in product analytics, experimentation, complex data, algorithms, and LLMs.

Lead architecture, development, debug, and deployment of SoC/accelerator firmware libraries (ANC, compute, DMA). Drive silicon bring-up, firmware frameworks, verification, cross-team integration, and mentor engineers while coordinating with hardware, validation, security, and platform teams.

Build and operate distributed cloud services for Microsoft Dataverse Runtime, enabling secure AI agents, copilots, workflows, and enterprise applications. Responsibilities include architecture, implementation, deployment, monitoring, incident response, reliability improvements, and operational excellence for highly available services. The engineer will partner across Azure, Power Platform, Dynamics 365, and AI teams, contribute to technical decisions, support production systems, use AI-assisted engineering tools, and mentor other engineers.

Design, build, test, deploy, and operate platform features for engineering teams. Develop AI-assisted workflows, distributed systems, observability, automated validation, progressive rollout, and recovery tools. Collaborate with partner teams, gather requirements, troubleshoot production issues, participate in reviews, and support features through their lifecycle, including on-call responsibilities.

Develop and maintain scalable AI-powered data platform components, including services, APIs, pipelines, analytics, automation, and telemetry processing. Responsibilities include coding, testing, deployment, monitoring, code reviews, and operational improvements for large-scale, low-latency systems. The role collaborates with senior engineers and partner teams while applying privacy, security, compliance, responsible AI, and reliability practices.

Leads firmware and system debugging from silicon and platform bring-up through deployment. Investigates complex failures across firmware, hardware, operating systems, drivers, and fleet infrastructure; drives root-cause analysis and corrective actions. Guides architecture for diagnostics, telemetry, crash capture, recovery, and reliability. Applies automation, statistical analysis, and AI-assisted methods to fleet-scale failure analysis while evaluating accuracy and false positives. Influences engineering priorities, establishes diagnostic standards, and mentors engineers.

Leads hands-on engineering engagements with strategic enterprise customers to diagnose and resolve complex Windows deployment, management, update, application, performance, reliability, and security issues. Develops scripts, automation, diagnostic tools, prototypes, and reusable solutions; collaborates with product engineering on cross-product issues; and scales successful customer solutions through playbooks, guidance, and product improvements.