Top Tech Jobs & Startup Jobs in Seattle, WA

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.

Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.

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.

Serves as a technical lead for customers using CoreWeave cloud infrastructure, with emphasis on Kubernetes in high-performance computing environments. Responsibilities include designing and deploying tailored solutions, leading proofs of concept, optimizing AI/ML workloads, conducting technical reviews, advising on product strategy, collaborating with engineering teams, and representing CoreWeave at industry events.

Leads systems engineering teams developing high-throughput file, block, and object storage for AI cloud infrastructure. Drives architecture, performance tuning, latency optimization, benchmarking, and 10x scaling across distributed storage systems. Provides technical mentorship, performance management, recruitment, and cross-functional leadership while maintaining a coding-focused culture and maximizing GPU utilization.

Oversee vendor lifecycle operations, including onboarding, tax and banking verification, catalog setup, record maintenance, data cleanup, and process documentation in Coupa. Coordinate with stakeholders, procurement operations, IT, vendors, and offshore resources. Lead day-to-day offshore workloads, enforce service levels and compliance controls, resolve escalations, maintain procedures and workflow documentation, and report operational metrics to procurement leadership.

Own financial planning, forecasting, reporting, modeling, and cost optimization for data center operations. Partner with executive leaders and cross-functional teams on OpEx, CapEx, power strategy, leases, equipment financing, investment decisions, variance analysis, and long-range planning. Lead finance initiatives and translate complex data into actionable insights for executive decision-making.

Lead and develop an infrastructure engineering team responsible for internal Kubernetes platforms and foundational services. Set roadmaps, ownership, operating practices, and success metrics; guide reliable infrastructure and automation; establish testing, observability, SLO, incident response, change management, and on-call practices; resolve cross-team dependencies; and manage hiring, coaching, performance, priorities, and risk communication.

Manage technical revenue accounting and ensure ASC 606 and US GAAP compliance. Review sales contracts, develop accounting policies, prepare technical position papers, support SOX controls and audits, monitor accounting guidance, improve systems and automation, and provide cross-functional training. The role partners with Sales, Legal, FP&A, Product Management, Deal Desk, Business Systems, and General Ledger Accounting teams while supporting accurate revenue recognition and financial reporting.

Design, build, and operate secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; integrate container runtimes, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, GPU, and security architecture.