Top Tech Jobs & Startup Jobs in Seattle, WA

Lead technical strategy and architecture for Developer Experience: build scalable build/test/delivery systems, improve CI/CD throughput, design internal platforms/APIs/SDKs/CLIs, integrate LLM/agentic tooling safely, mentor senior engineers, and drive cross-team initiatives to increase engineering velocity, reliability, and maintainability at organizational scale.

Join a small Applied Training team building Kubernetes-native research cluster and sandbox infrastructure for large-scale ML training. Design and implement cluster experiences (CLI, job schemas, operators), own Python SDKs for RL rollouts, work directly with customers and infra teams, document OSS training frameworks, and ship production-grade ML infrastructure solving distribution, scheduling, and isolation at scale.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

Lead technical strategy and architecture for CoreWeave's orchestration platform (SUNK). Own critical orchestration components, drive cross-org initiatives in scheduling, quota enforcement, and hyperscale scaling. Mentor senior engineers, establish reliability and observability best practices, and ensure workloads run reliably and efficiently for large GPU ML training and inference clusters.

Take end-to-end ownership of a Kubernetes-based, multi-region data platform: architect for high availability and low latency, scale infrastructure, optimize CI/CD, implement observability and IaC, enforce cloud-native security, lead incident response, and ensure production readiness and capacity planning.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

Own administration, optimization, and scalability of Salesforce and GTM systems supporting Sales, Marketing, Customer Success, and Revenue Operations. Design and implement declarative automations, manage security and integrations (Okta, SSO), support complex revenue processes, participate in M&A system integrations, and drive user adoption and operational efficiency.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

Build and maintain fault-tolerant bare-metal Kubernetes control planes and automated tooling using Python, Golang, and Bash. Perform day-2 maintenance, debugging, upgrades, reliability improvements with Grafana, design automated tests, and participate in on-call rotation.

Lead and grow a team building and operating Kubernetes on bare metal for high-performance AI workloads. Own execution, reliability, lifecycle management, automation, observability, incident response, and cross-functional partnerships while hiring, mentoring, and improving operational practices.