Top Principal Engineer Jobs in Seattle, WA

Lead technical direction and architecture for foundational Microsoft Edge and Chromium web platform capabilities. Design and deliver innovations across browser systems, APIs, performance, security, accessibility, and compatibility. Contribute directly to Chromium, web standards, and open-source initiatives while collaborating with browser vendors, standards bodies, and internal teams. Provide technical leadership, mentorship, and end-to-end ownership for complex, cross-organizational engineering efforts.

Define the architecture strategy for compliant computation and storage across the Bing Search platform. Lead distributed storage and data processing architecture at petabyte scale, establish privacy, security, governance, residency, retention, and compliance standards, and translate regulatory requirements into technical capabilities. Drive cross-organizational modernization initiatives, influence senior stakeholders, develop multi-year roadmaps, evaluate emerging technologies, and mentor senior engineers and architects.

Lead design and delivery of a productized Windows validation platform for labs and OEM partners. Define architecture for station control, orchestration, diagnostics, telemetry, and evidence pipelines. Drive deep Windows kernel/driver debugging, operational standards, AI-assisted tooling, and cross-team alignment while mentoring engineers and guiding multi-year roadmaps for reliable, measurable validation at scale.

Lead functional verification and validation of complex DPU/SoC designs across pre-silicon and post-silicon stages. Develop UVM/C testbenches, C tests and firmware, define test plans, run regressions, debug failures, create stress/performance scenarios, participate in chip bring-up, and mentor engineers while collaborating with architecture, design, and partner teams.

Designs, develops, and operates hyperscale distributed systems for Microsoft's content and media experiences. Responsibilities include building reliable backend services, APIs, data pipelines, feature stores, and ML data flows; leading architecture and implementation; writing and reviewing code; resolving production issues; and driving monitoring, capacity planning, performance, and incident response.

Leads architecture, technical strategy, and development of large-scale Dataverse business data, AI, distributed systems, and cloud platform capabilities. Designs reliable, secure, scalable services supporting enterprise applications, copilots, agents, retrieval systems, and intelligent automation. Drives modernization, reusable platform patterns, CI/CD, observability, testing, and operational excellence. Partners across engineering, product, research, data science, security, and business teams; mentors engineers and influences cross-organization technical direction.

Lead the architecture and technical strategy for the native Windows App client connecting to Windows 365, Azure Virtual Desktop, and remote PCs. Design secure, reliable, high-performance systems spanning applications, services, operating-system APIs, networking, identity, and cloud experiences. Investigate complex concurrency, memory, performance, compatibility, and reliability issues; guide multi-team delivery and live-site operations; establish engineering standards; and mentor senior engineers and technical leaders.

Define technical direction for Microsoft Security’s deployment configuration and policy control plane. Build Azure-native, secure, self-service platform capabilities using .NET and Azure, translate compliance requirements into typed APIs and build gates, improve developer workflows, lead architecture and design reviews, and coordinate technical partnerships across Azure, .NET, security, compliance, and service engineering teams.

Design and evolve distributed search and analytics systems for the Splunk platform. Lead complex engineering efforts from design through delivery, improve performance and reliability, mentor engineers, collaborate cross-functionally, and work with customers to resolve production issues.

Leads architecture, integration, validation, qualification, and deployment of optical networking infrastructure for hyperscale AI systems. Defines networking requirements, integrates switches, NICs, PHYs, optics, cables, and SerDes, and drives performance, reliability, telemetry, automation, and root-cause analysis. Partners with silicon, software, firmware, datacenter, manufacturing, ODM, and supplier teams to deliver optical products from concept through production at cloud scale.

Develop and operate large-scale, low-latency Azure cloud services for hardware health monitoring, anomaly prediction, telemetry, reliability, and performance. Evaluate and implement AI technologies, including LLMs, embeddings, RAG, and custom machine learning models, to improve firmware and hardware. Lead root-cause analysis, service restoration, testing automation, security and compliance, production deployment, and analytics reporting.

Provides department-wide technical direction for k0rdent across Kubernetes, AI infrastructure, AI applications, and observability. Designs cross-cutting systems, establishes engineering standards, resolves architectural risks, mentors Staff and Principal engineers, and aligns product strategy with durable technical execution. The role also engages customers, partners, upstream communities, and industry forums while contributing code and prototypes to solve complex infrastructure problems.

Design and build secure, scalable platform services for distributed AI training and inference. Develop backend APIs, Kubernetes controllers, orchestration systems, asynchronous workflows, multi-tenant access controls, and developer tools. Improve reliability, observability, scalability, and engineering productivity while partnering with infrastructure and AI teams. The role also provides technical leadership, mentoring, and cross-functional collaboration throughout platform development and production delivery.

Designs, builds, and operates large-scale AI compute infrastructure for training, fine-tuning, evaluation, and inference. Responsibilities include managing Kubernetes clusters, enabling CPU and GPU systems, optimizing scheduling and capacity, troubleshooting distributed infrastructure, and automating provisioning, upgrades, monitoring, and maintenance. The role partners closely with AI researchers and engineers to improve infrastructure reliability, scalability, performance, and developer productivity.

Lead the architecture and development of highly available cloud services for AI inference. Build Kubernetes controllers and platform capabilities for workload scheduling, scaling, recovery, deployment, and lifecycle management. Improve reliability, observability, performance, and resource efficiency through production readiness reviews and incident-driven improvements. Guide complex technical initiatives, mentor engineers, resolve infrastructure issues, and align architecture across AI compute, runtime, and product teams.

Lead architecture and development of a scalable User Identity Graph and supporting data pipelines. Coordinate cross-team integrations, improve deployment automation, telemetry, monitoring, security, reliability, and incident response. Lead experimentation and metrics analysis, perform debugging and root-cause analysis, review code and tests, and mentor engineers while promoting secure, maintainable coding practices and responsible AI adoption.

Provides technical leadership for Azure SQL databases supporting a highly available Azure service. Responsibilities include database performance tuning, reliability and capacity planning, schema changes, data migrations, observability, incident response, root cause analysis, operational automation, and technical strategy. The role partners with software engineers, SREs, and architects to improve scalability, durability, cost efficiency, and long-term service reliability across teams.

Architect and deliver cloud-scale data integration products for Microsoft Fabric, owning end-to-end design, runtime, monitoring, reliability, security, and deployment. Mentor engineers, drive engineering excellence, integrate AI tooling, lead incident response as a DRI, and collaborate across Fabric, Azure Data Factory, and Power Query teams to meet scalability and resiliency goals.

Lead the architecture, development, and delivery of Microsoft Fabric application development capabilities, including GraphQL APIs, user data functions, AI-powered developer experiences, and scalable runtime services. Build and optimize reliable cloud software, collaborate across organizational boundaries, use customer feedback and telemetry to improve products, participate in live-site operations, mentor engineers, and drive technical strategy for developer-focused platform capabilities.

Leads platform engineering and full-stack software development across the lifecycle, designing scalable cloud-native architectures, reusable infrastructure, and AI-enhanced applications. Provides architectural guidance, mentors engineers, translates business needs into technical requirements, and drives quality, observability, incident response, and continuous improvement across teams serving millions of users.

Design, build, and operate large-scale, highly available platform services across GitHub (Actions, Enterprise AI, Identity, Billing, Git systems, database infrastructure). Provide technical leadership, mentor engineers, own architecture and APIs, participate in on-call incident response, drive reliability, security, testing, and roadmap decisions across cross-functional teams.

Designs and delivers software automating AKS cluster provisioning, upgrades, and management on Azure Local. Owns features through production, makes architectural decisions, mentors engineers, and improves reliability, security, observability, performance, and operational consistency. The role involves distributed systems, networking, virtualization, Kubernetes lifecycle management, on-call support, and collaboration across Azure teams and stakeholders.

Lead design, implementation, and operation of high-throughput data movement/replication services for Microsoft Fabric. Produce maintainable code, drive architecture and testing strategies, perform debugging and root-cause analysis, review code, manage dependencies, and collaborate with stakeholders to ensure security, reliability, performance, and customer-focused telemetry and metrics.

Lead the architecture, mechanical design, configuration, validation, and production deployment of GPU servers and rack-scale AI infrastructure. Partner with NVIDIA, AMD, ODMs, OEMs, data center engineering, networking, and operations teams. Own rack layouts, power distribution, cooling, airflow, cable management, serviceability, qualification, and hardware standards while balancing performance, reliability, manufacturability, scalability, and cost.

Provides technical leadership and architectural ownership for the Entra Admin Center and foundational identity administration experiences. Drives AI-powered administration, platform modernization, scalable cloud solutions, security, reliability, accessibility, and engineering excellence. Partners across engineering, product, design, and security, resolves complex technical challenges, influences roadmaps, and mentors senior engineers.