Top Engineering Jobs in Seattle, WA

Design, build, and operate large-scale data ingestion, storage, and query systems for AI/ML experiment tracking. Architect and optimize distributed backend services (petabyte-scale), implement customer-facing APIs, run services on Kubernetes/cloud, diagnose production issues, lead architectural initiatives, and mentor junior engineers.

Build and operate Go-based backend services and APIs to manage hardware lifecycle (RMA, data center operations, node repairs). Design scalable, reliable microservices, integrate vendor APIs, manage databases for operational and reporting use cases, and deploy/operate services on container platforms.

The Systems Engineer will design, implement, and optimize HR systems such as Workday HCM, collaborating with stakeholders to enhance HR technology solutions.

Design, build, and maintain production platforms and services that automate and operate CoreWeave's network (config generation, provisioning, workflow automation, observability, CLIs/APIs). Lead technical direction, plan multi-month projects, write high-quality Python and Go software, define SLOs/SLIs, reduce manual toil, participate in on-call, mentor engineers, and collaborate across Network, Observability, Fleet, and HPC teams.

Design, validate, and optimize power delivery systems and collaborate with teams to enhance hardware designs for AI data centers.

Design, deploy, and maintain SOAR capabilities for security automation, develop workflows, and integrate AI tooling for enhanced security responses.

The Senior Software Engineer will design and build secure sandboxed runtime environments for Kubernetes, focusing on GPU workloads and ensuring performance and security in multi-tenant configurations.

The Staff Frontend Engineer will design the UI for a high-performance datacenter infrastructure platform, optimizing for speed and handling complex datasets. Responsibilities include building applications, collaborating on API design, and establishing frontend architecture.

Lead design, build, and operation of a cloud-based VDI platform (Ubuntu and Windows 11). Own cloud infra, Teleport and Okta integration, image pipelines (Packer), config management (Chef/Ansible/Terraform), security agent bake-in, audit logging/SIEM, cost governance, testing, patch cadence, runbooks, and incident response for a production VDI fleet.

Lead end-to-end technical delivery of large-scale bare-metal GPU clusters for strategic customers: facility/rack design, GPU cluster bring-up, InfiniBand/RoCE fabric validation, HPC benchmarking and remediation, operational models for BMaaS, and cross-team product feedback. Act as primary technical customer contact, run proofs-of-concept, collaborate with engineering teams, and support security-sensitive, production-ready supercomputers.