Top Tech Jobs & Startup Jobs in Seattle, WA

Design and build highly scalable Azure Resource Graph infrastructure for high-throughput query and ingestion. Work on distributed systems, runtime and optional database internals, and cloud service deployment. Drive technical design, execution, cross-team collaboration, and mentor junior engineers while meeting security screening requirements.

Design, implement, and operate large-scale distributed storage systems (index management and garbage collection). Drive design, debug and optimize code, own reliability/observability, act as DRI, participate in on-call rotations, and collaborate with stakeholders to define requirements and release plans.

Manage and resolve highly complex, cross-technology customer escalations by coordinating engineering and support teams, mentor peers on AI-assisted troubleshooting, drive product and process improvements, create readiness content, and ensure security and compliance in customer engagements.

Manage Premier customers' critical incidents (CritSit), coordinate internal and external resources, lead crisis response and after-hours support, identify systemic issues, drive process/tool improvements, and provide reporting to improve customer outcomes.

Lead a team of SREs to operate large-scale hybrid CPU/GPU AI training and inference infrastructure. Design observability, automation, deployments, incident management, security/compliance, and collaborate with ML teams to accelerate research-to-production workflows.

Design and develop high-volume, low-latency telemetry and event pipelines for Azure HPC & AI supercomputers. Analyze and improve pipeline fidelity and latency, enable diagnostics for job reliability, partner across teams to deploy end-to-end solutions, lead incident resolution, root-cause analysis, and drive engineering improvements tied to customer outcomes.

Lead end-to-end delivery of strategic data science and AI projects: define business problems with stakeholders, prepare large datasets, build and deploy predictive, prescriptive, and generative AI models (including LLMs), implement prompt engineering and fine-tuning, ensure production-grade code and ML lifecycle practices, present insights to senior stakeholders, and promote responsible AI and adoption across teams.

Lead cross-functional planning and landing for SME&C to execute strategic operational initiatives across revenue, investments, resource design, GTM and role success. Drive stakeholder alignment, measure adoption and outcomes, use data and listening mechanisms to inform improvements, and manage communication, reporting, and roadmap delivery to land changes for field teams.

Lead telemetry and experimentation data engineering for Global Skilling products. Own instrumentation and telemetry contracts, build A/B testing pipelines and semantic models, integrate catalog/content data, deliver external reporting, operate insights feedback loops, mentor mid-level engineers, and provide on-call leadership for product-tier pipelines.

Lead and coordinate enterprise-wide response to critical cybersecurity incidents and vulnerabilities. Triage incidents, make high-stakes remediation decisions, produce incident reports and executive updates, validate customer guidance, and drive cross-organizational remediation efforts to protect Microsoft and its customers.