Top Tech Jobs & Startup Jobs in Seattle, WA

Leads end-to-end delivery of hyperscale data center builds and capacity expansions. Owns program plans, schedules, requirements, risks, budgets, KPIs, and executive reporting while coordinating Engineering, Supply Chain, and Data Center Operations. Establishes scalable delivery processes and SLAs, resolves technical and logistical issues, and drives commissioned infrastructure from planning through operational handoff.

Supports a senior executive and leadership team by managing complex calendars, travel, expenses, meetings, events, documentation, reporting, and follow-ups. The role requires proactive organizational support, cross-functional coordination, process improvement, document preparation, discretion with confidential information, and the ability to manage shifting priorities across multiple time zones with minimal supervision.

Provides legal support for commercial real estate development, construction, and infrastructure projects across CoreWeave’s data center portfolio. Responsibilities include negotiating real estate, construction, engineering, contractor, and professional services agreements; advising on due diligence, zoning, permitting, utilities, entitlements, construction risks, claims, and disputes; managing outside counsel; and developing scalable legal templates and processes.

Lead data infrastructure engineering for multi-regional datastores and stream-processing platforms. Drive technical decisions, mentor engineers, establish event-driven architecture, and design scalable managed data solutions. Improve platform performance, security, reliability, and scalability while participating in on-call support. Define data access and storage guidelines, ensure regulatory compliance, and operate distributed data systems using technologies such as Kubernetes, Kafka or NATS, NewSQL databases, Go, and Python.

Design, build, scale, and maintain CoreWeave’s IAM platform and distributed identity, authentication, and authorization services. Develop APIs and backend systems, optimize performance and availability, implement observability and automated tooling, and participate in on-call operations. Collaborate with product, design, and technical program teams on strategy and roadmap. Apply software engineering best practices, automated testing, CI/CD, security principles, and production troubleshooting to deliver maintainable, reliable cloud infrastructure services.

Owns fleet-wide reliability and operations programs for a large-scale AI cloud infrastructure environment. Establishes reliability metrics and dashboards, aligns engineering and operations teams on OKRs, identifies systemic infrastructure gaps, leads cross-functional improvement programs, manages dependencies and risks, and drives incident follow-up and corrective actions. Requires strong technical aptitude across compute, storage, networking, hardware, software, and SRE, plus experience managing programs in rapidly scaling cloud or infrastructure environments.

Staff Product Quality Engineer role at CoreWeave. The provided posting contains compensation, benefits, equal opportunity, accommodation, and export-control information, but does not specify detailed responsibilities, technologies, or qualification requirements.

Own the end-to-end IT SOX compliance program, including control inventories, documentation, execution, evidence collection, issue remediation, and reporting. Translate compliance requirements into scalable workflows and systems, partner with IT and finance stakeholders on SDLC and application controls, review evidence, lead root cause analyses, and report control health to leadership. The role requires deep ITGC, SOX, audit, GRC, and enterprise systems experience.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

Own data center OpEx and power planning, forecasting, budgeting, variance analysis, financial reporting, scenario modeling, and cost optimization. Build complex operational and financial models, develop dashboards, and provide actionable insights to executive leadership. Partner cross-functionally with data center operations, capacity planning, power and sustainability, and sales teams to support strategic decisions and business growth.