Top Tech Jobs & Startup Jobs in Seattle, WA

Design, automate, deploy, and operate secure enterprise-scale network and storage infrastructure for Azure datacenters and High Security Environments. Lead secure network architecture, implement IaC automation, build telemetry/monitoring, enable secure hybrid connectivity, troubleshoot cross-team incidents, and support hardware lifecycle and operational documentation.

Lead solution sales for Microsoft Security with enterprise customers: identify opportunities, build solutions and business cases, manage senior relationships and pipeline, collaborate with partners and internal teams, forecast and pursue high-potential accounts, and obtain relevant product/role certifications.

Microsoft Software Engineer role (IC3/IC4) with published U.S. base pay ranges. Job posting lists compensation bands and EEO/accommodation information; specific technical responsibilities and qualifications are not provided.

Lead the vision, strategy, roadmap, and global execution of AI-powered learning and workforce skilling products. Manage and mentor product managers, collaborate with engineering, design, research, marketing, and customer teams, and drive products from customer insight through launch and scale. Build AI-native experiences, improve product adoption and metrics, foster inclusive team practices, and deliver measurable outcomes for millions of learners.

Lead development and deployment of ML/AI solutions for customer success and support: own architecture, ensure Responsible AI and security, drive reliability and observability, mentor teams, partner with engineering/product to deliver scalable, measurable customer value.

Leads sales excellence for Microsoft’s Americas AI Business Solutions organization. Drives pipeline health, predictable revenue and consumption growth, sales methodology adoption, governance, partner insights, sales transformation, and planning across business segments. Partners with senior sales, finance, and operations leaders to improve execution, manage change, and deliver rolling business outcomes. This strategic individual contributor role requires strong stakeholder influence, data-driven decision-making, and expertise in sales operations or related disciplines.

Owns product vision, strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Leads intake, packaging, launch, distribution, lifecycle management, reusable platform primitives, standardized contracts, automation, and self-service experiences. Partners with engineering, TPM, compliance, operations, and product teams to establish standards, manage dependencies, and improve onboarding through measurable metrics such as availability time, throughput, reuse, launch success, and reduced manual work.

Build and operate Azure platforms integrating specialized partner technologies with cloud services. Responsibilities include writing maintainable code, contributing to architecture and design decisions, testing features, supporting safe deployments, monitoring dependencies, using AI-assisted development tools, and maintaining live-site operations. The role emphasizes scalable, reliable, secure, and resilient distributed cloud services while collaborating with engineers, product managers, architects, and partners.

Design, implement, and operate networking infrastructure for Azure Dedicated private and hybrid cloud environments. Responsibilities include hybrid connectivity, ExpressRoute, SDN solutions, third-party platform integration, network performance and security optimization, live-site operations, automation, observability, troubleshooting, and enabling migration and disaster recovery scenarios.

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.