Top Tech Jobs & Startup Jobs in Seattle, WA

Seeking an experienced Hardware Engineer to design, develop, and optimize server hardware and liquid cooling infrastructure, collaborating with cross-functional teams and vendors.

Manage strategic customer relationships, define technical requirements, oversee program execution, and facilitate collaboration across teams to ensure customer success in adopting CoreWeave's cloud services.

As a Solutions Architect at CoreWeave, you'll lead customer engagement, optimize cloud infrastructure solutions, and collaborate closely with engineering teams on product development and enhancements.

The role involves designing and implementing distributed storage solutions for AI workloads, developing scalable storage systems, optimizing performance, and mentoring engineers. It requires collaboration with various teams to ensure system reliability and efficiency.

Lead the evolution of CoreWeave AI Object Storage's security, manage cross-functional teams, and develop secure cloud-scale storage systems.

Lead and expand the SRE/Production Engineering team to ensure platform reliability, performance, and operational efficiency. Drive SRE strategy, automation-first practices (IaC, Terraform, Kubernetes), incident management, postmortems, SLO/SLA frameworks, on-call strategy, and system hardening. Collaborate with engineering, product, hardware, and security teams to build scalable, resilient, self-healing AI-focused cloud infrastructure.

Design, implement, and automate scalable cloud security solutions and baselines across AWS/Azure/GCP. Build guardrails, IAM, detection/monitoring, configuration management, and data protection using IaC (Terraform) and everything-as-code. Collaborate with Product Engineering and security teams, produce technical documentation, and operationalize security tooling.

Lead and grow a regional Solutions Architecture team responsible for complex customer deployments across cloud and on-premises environments. Oversee hiring, coverage, escalations, architecture reviews, infrastructure troubleshooting, workshops, and customer enablement. Partner with Sales, Field Engineering, Support, Product, and Engineering teams to validate solutions, improve adoption, and influence roadmaps. Create reusable Terraform and Helm assets, reference architectures, runbooks, and operational processes while remaining hands-on with Kubernetes, networking, storage, cloud infrastructure, and production incident resolution.

Own and run backend Go services for billing: demand/capacity matching, metering-to-invoicing pipeline, customer-facing APIs and dashboards. Ensure audit-grade revenue lineage, SLAs, observability, production hardening, and on-call readiness. Drive technical initiatives, mentor engineers, and collaborate with RevOps, Finance, and Product.

As a Staff Software Engineer on the Inference team, you'll lead architecture and optimization for Kubernetes-native AI workloads, enhancing performance and reliability across services.