Top Tech Jobs & Startup Jobs in Seattle, WA

As a Staff Systems Engineer, you will oversee IT and SaaS platforms, enhance system reliability, automate processes, and manage SaaS sprawl.

The Software Engineer II will design and implement features for the Developer Experience platform, focusing on CI tools, test systems, and integrations. Responsibilities include end-to-end ownership of projects, code reviews, and onboarding new team members.

As a Senior Cloud Support Engineer, you'll provide high-level support for GPU workloads, mentor team members, resolve complex technical issues, and enhance customer satisfaction through technical expertise and problem-solving.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

Lead design, implementation, and maintenance of SOX business process controls and ICFR. Collaborate with cross-functional process owners, manage risk assessment, control scoping and testing, drive remediation, work with co-source providers, recommend process improvements and automation, and report findings to senior management and the Audit Committee.

Lead design reviews and architecture in a Kubernetes-native inference platform, improve latency and reliability, mentor engineers, and implement optimizations.

Design, implement, validate, and maintain Intel/Altera FPGA logic and platform interfaces. Lead FPGA bring-up, cross-layer debugging with firmware/BIOS/hardware, improve reliability and telemetry, automate tests, collaborate with vendors, and mentor engineers to ensure production-ready platform integration for data center deployments.

Designs and delivers multi-modal technical learning programs for Sunnyvale engineering teams. Leads needs analysis, partners with senior technical stakeholders, facilitates training, owns program evaluation, and shapes technical development practice across sites.

Analyze data center operational practices, identify risks and inconsistencies, and create scalable enablement materials (SOPs, runbooks, templates, training). Partner with technicians, engineers, security, and compliance to validate procedures, support audit readiness, and leverage modern tooling including AI/LLM workflows to accelerate documentation and onboarding.

Lead the architecture and operation of Managed databases for AI workloads, ensuring high-scale, low-latency solutions while mentoring teams on best practices.