Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and operate Azure Container Linux capabilities for bare-metal systems across cloud and hardware environments. Responsibilities include OS image creation, hardware enablement, automated provisioning, secure updates, rollback and recovery, firmware lifecycle management, qualification, observability, and fleet health. The role also develops portable integrations and automation, resolves complex systems issues with partners, and supports reliable Linux fleets for cloud, data, edge, and AI infrastructure.

Leads cross-organizational Quality Excellence Initiative programs across Microsoft Cloud. Translates customer signals, outages, and operational risks into engineering priorities and measurable improvements. Manages complex initiatives, dependencies, governance, resiliency plans, change controls, executive reporting, and success metrics. Partners with engineering, service, architecture, operations, data science, and business teams to improve customer health, prevent incidents, strengthen service resiliency, and drive continuous operational improvement.

Leads a Cloud and AI solution engineering team supporting customer transformation across the Defense Industrial Base. Coaches solution engineers, develops sales discipline, manages customer and partner relationships, removes execution barriers, converts leads into opportunities, and drives cloud, infrastructure, data, AI, and application initiatives. The role requires technical presales or consulting expertise, cloud platform knowledge, stakeholder leadership, and team management experience.

Lead architecture and engineering for Microsoft’s enterprise Insider Risk platform. Build scalable, secure, privacy-conscious systems supporting risk modeling, behavioral analytics, detections, monitoring, investigations, workflows, and case orchestration. Partner with security, legal, HR, privacy, data science, and business teams to address complex risk scenarios. Drive technical strategy, align cross-team delivery, mentor engineers, and uphold reliability, confidentiality, compliance, and responsible data-use standards.

Designs and advances security architecture for Microsoft’s enterprise productivity environment. The role assesses evolving risk, analyzes systems and telemetry, develops reusable security patterns and tooling, partners with engineering teams on deployment, communicates risk and tradeoffs, and establishes priorities and roadmaps amid incomplete information.

Lead customer engagements to qualify and close cloud and AI opportunities on Azure. Drive sales strategy, pipeline hygiene, partner co-sell, and AI-driven forecasting. Collaborate across account teams, enable customer adoption and consumption, and act as trusted advisor to accelerate AI and cloud transformations.

Lead enterprise customers through cloud and AI transformation, develop and execute account plans, orchestrate cross-functional Microsoft teams, drive revenue growth and large deals, build industry knowledge and trusted relationships with senior customer stakeholders, and advocate for customer outcomes throughout the lifecycle.

Deliver Success Programs for government, sovereign, and regulated customers. Lead complex cloud architecture engagements across Azure, Security, AI, and Modern Work; manage delivery lifecycles, milestones, dependencies, risks, documentation, and customer satisfaction. Provide technical authority, stakeholder leadership, partner enablement, knowledge transfer, and mentorship. Identify automation opportunities and improve reusable delivery practices while supporting restricted-demand customers in secure environments.

Drives technical execution and engineering excellence across Azure AI infrastructure delivery, including provider buildout, engineering readiness, validation, Dock-to-Live activities, and customer onboarding readiness. Develops telemetry, metrics, dashboards, automation, AI-powered systems, and agentic workflows to improve predictability, reduce operational toil, resolve technical bottlenecks, and accelerate deployment of customer-ready cloud capacity. Partners with engineering and provider teams and communicates risks and recommendations to technical and executive stakeholders.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.