Top Systems Engineer Jobs in Seattle, WA

Design, validate, and automate server deployment in hyperscale environments, collaborating with cloud providers and troubleshooting performance issues.

Design and optimize low-latency trading systems, build real-time risk platforms, and engineer distributed systems in a high-performance environment using Haskell.

Develop high-quality, reusable code on the ServiceNow platform, mentor colleagues, and enhance existing products while collaborating across technical teams.

The role involves developing large-scale application services for vulnerability content, collaborating with security researchers, and automating processes in a cybersecurity context.

Design and deploy networks, troubleshoot and resolve issues, engage in outages, validate problems, and perform software upgrades for network systems.

Develop and maintain the Content Management System, automate data release, and enhance system performance for vulnerability information delivery.

The Systems Engineer will design and maintain Claude Code's terminal integration, optimize system features, and ensure cross-platform compatibility while collaborating with security teams and managing build pipelines.

Design and implement components for a blockchain infrastructure, focusing on distributed systems and AI execution, while ensuring network reliability and performance.

The Senior Software Systems Engineer will improve software architecture for ADAS, focusing on modularization, system scalability, and integration across software and hardware layers.

As a Distributed Systems Engineer, you will build Rust-based rollup nodes and sequencers, ensuring security and efficiency in blockchain protocols.

The UI Engineer will build and maintain robust React components, collaborate with designers and engineers, optimize performance, and contribute to documentation and best practices.

The Systems Engineer will manage cloud infrastructure, implement full stack components, drive DevOps practices, and enhance system performance and reliability.

Design and implement scalable backend systems for IoT solutions, integrating LoRaWAN devices, and maintaining communication protocols while collaborating with cross-functional teams.

Design and develop large-scale distributed systems, focusing on data processing infrastructure. Collaborate across teams to enhance Netflix's data platform and backend systems.

The role involves developing scalable distributed systems, mentoring engineers, making architectural decisions, and supporting content production at Netflix.

Build and operate services and APIs for cloud computing, engaging with end users to enhance their experience while solving business needs at scale.

Develop and optimize distributed systems for Netflix, focusing on scalability and operational excellence, while mentoring engineers and setting technical direction.

The Distributed Systems Engineer will build scalable data infrastructure, enhance data processing systems, and collaborate across teams to leverage data efficiently.

As a Software Engineer on the UI Systems Team, you will develop high-quality web and mobile UI components using JavaScript and modern frameworks, collaborating closely with designers and product managers.

As a Senior IT Systems Engineer, you will automate identity management processes, manage Okta configurations, and collaborate on security practices and practices to enhance technology experiences.

The role involves building digital products for dental prosthetics, focusing on 3D UI development, integration with AI, and collaborating with cross-functional teams.

The Systems Engineer / DevOps role focuses on automating operations, managing infrastructure, and supporting development workflows in a hybrid cloud environment.

As a Principal Software Engineer, you'll design scalable cloud storage architectures, optimize performance, and collaborate with teams to enhance storage solutions for AI workloads.

The role involves developing and maintaining automation tools, CI/CD pipelines, and cloud infrastructure for NVIDIA's autonomous vehicle program, ensuring scalability and operational efficiency.

Develop and maintain scalable Go programs for managing large datacenters, focusing on GPU management integration and Kubernetes deployments, while ensuring high-quality products through testing and user support.