Top Tech Jobs & Startup Jobs in Seattle, WA

Lead scan/structural test engineering for new silicon products across bring-up, validation, and manufacturing readiness. Develop and debug ATE test programs and ATPG/scan patterns, perform silicon characterization and failure analysis, collaborate with design/DFT/manufacturing teams to close coverage and improve yield, and support test validation, diagnostics, and production readiness.

Lead and grow a high-performing engineering team to deliver AI-infused, cloud-native enterprise applications. Own technical strategy, architecture, SDLC, operational excellence, incident management, hiring, mentoring, and cross-team alignment while driving adoption of AI-native engineering and Microsoft cloud/Power Platform technologies.

Designs, implements, and operates secure, highly available authentication infrastructure at global scale. Writes and reviews code, improves reliability and observability, participates in on-call rotations, drives incident response and long-term fixes, and applies AI-assisted development to improve productivity and safety.

Lead Deal Desk role capability by designing role excellence, onboarding, learning journeys, upskilling pathways, readiness and adoption plans, governance, and cross-functional stakeholder alignment to improve role clarity, speed ramp, and consistent deal outcomes.

Lead cross-team solution development for payroll accounting transformation: define vision, roadmaps, requirements, and success metrics; coordinate business and engineering stakeholders; manage schedules, risks, and delivery; run UAT and adoption activities; ensure controls, compliance, and measurable operational improvements.

Design, build, test, deploy, and operate scalable, secure distributed systems and cloud-native commerce platforms. Develop APIs, backend services, data pipelines, AI-powered features, and payments/revenue systems. Collaborate across product, research, and data teams, drive modernization, improve observability and live-site health, and mentor engineers.

Lead cross-team technical programs for Azure Storage: define roadmaps, coordinate execution, design technical solutions, identify risks and mitigations, validate use cases and tests, collect metrics, and drive customer and stakeholder engagement.

Design, implement, debug, and ship front-end features for Azure Storage at cloud scale. Drive design, dependency identification, and documentation. Act as DRI, participate on-call monitoring and incident response, and improve service reliability, performance, automation, and observability in collaboration with stakeholders.

Lead regional execution of Cloud & AI platform go-to-market strategy: align cross-functional teams, plan and manage marketing budgets and campaigns, leverage MarTech and AI-driven tools, analyze performance to drive pipeline and revenue, scale best practices, and enable field sales execution.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.