Top Tech Jobs & Startup Jobs in Seattle, WA

Design and build a proto-driven code-generation pipeline to emit Go SDKs, CLI commands, and Terraform resources. Own API service framework components end-to-end, enforce API standards, collaborate with teams on API design, improve developer experience, and mentor engineers.

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.

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.

Lead CoreWeave's Platform Security engineering, managing a team to ensure security in Kubernetes and multi-cloud environments, and drive security posture management.

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 and build AI agents, first-party web and mobile apps, and scalable backend services. Integrate LLM frameworks and enterprise systems, implement APIs and microservices, ensure observability and security, and collaborate with Finance, Security, and Engineering stakeholders.

Own and evolve the data lake and analytics stack powering fleet observability. Build and maintain scalable ETL/ELT pipelines, operate data lake infrastructure (Iceberg, Trino, Airflow, Spark, Superset), produce analytics and executive reporting, create dashboards and runbooks, and implement data governance and observability.

The Product Manager will define and deliver a scalable technology ecosystem for Data Center Operations, improve efficiency through data-driven solutions, and lead cross-functional collaboration to enhance product performance and operational excellence.