Top Tech Jobs & Startup Jobs in Seattle, WA

Builds AI-powered developer tools, intelligent applications, agents, APIs, and cloud-scale services. Responsibilities include applying engineering and AI techniques, evaluating LLMs and retrieval systems, developing and testing scalable software, collaborating with product and research teams, and applying responsible AI principles. The role targets a Summer 2027 start and emphasizes learning, maintainability, reliability, security, and performance.

Own the roadmap for AI experiences in Search Places, shaping next-generation discovery and relevance products. Define product strategy, identify investment opportunities, align cross-functional stakeholders, track performance metrics, and drive business impact across multiple feature areas. Partner with technical teams to develop hypotheses and improve product experiences in a highly matrixed environment.

Design, implement, and manage Azure network infrastructure and secure HRE segments. Configure firewalls, proxies, VPNs, and monitor traffic. Automate deployments with IaC and scripting, lead Tier 3 incident response and root-cause analysis, optimize performance, and ensure compliance with security standards.

Build and ship scalable, performant AI-powered Copilot web experiences for millions of users. Design reusable frontend systems, deploy frontend infrastructure, and collaborate with AI researchers, product managers, and designers. The role emphasizes user-centric product development, safety, reliability, rapid iteration, and high-quality execution in a collaborative environment.

Lead end-to-end electrical engineering initiatives (PCB and superconducting ICs), manage supplier and manufacturing engagements, develop PCB/process/DFM/DFT workflows, coordinate cross-functional hardware teams, own program schedules, budgets, resource planning, and mentor junior engineers to deliver high-quality hardware on aggressive timelines.

Lead reliability improvements across Microsoft Substrate services, act as on-call DRI for incident response, automate deployments and monitoring, build scalable observability and deployment systems, drive security and compliance for government cloud environments, mentor SREs, run postmortems, and collaborate with engineering teams to reduce incidents and operational risk.

Design, architect, and implement key Windows Ads SDK components focused on performance, scalability, reliability, and maintainability. Build CI/CD, test automation, telemetry, and validation. Collaborate across teams on design reviews, data-informed rollouts, integration testing, and production readiness while ensuring security, privacy, accessibility, and compliance.

Leads Azure capacity automation and backend tooling programs across Engineering, Finance, Operations, and capacity planning teams. Translates business needs into requirements, user stories, acceptance criteria, and workflow specifications; manages dependencies, risks, governance, and delivery. Improves processes through automation, data analysis, reporting, and AI-powered solutions such as Microsoft Copilot. Drives stakeholder alignment, change adoption, data quality, documentation, and operational excellence across capacity allocation and prioritization workflows.

Leads Cloud Solution Architects and Technical Program Managers delivering application and database modernization on Azure. Owns strategy, reusable agentic-native IP, offering portfolios, technical blocker resolution, field-to-product alignment, customer engagements, and technical enablement. Provides expertise across .NET, Java, containers, integration, Azure platforms, and heterogeneous database migrations. Builds teams, coaches talent, sponsors strategic and regulated customers, and influences product roadmaps through customer and field insights.

Leads the architecture, development, and evolution of scalable full-stack applications, backend services, APIs, and cloud infrastructure for Microsoft Rewards. Owns complex cross-organizational technical initiatives, influences architecture, improves reliability and operational excellence, mentors engineers, and partners with product, design, and data teams to optimize customer engagement through experimentation and data insights.