Top Engineering Jobs in Seattle, WA

As a Solutions Architect, engage with customers to architect cloud solutions, optimize workloads, and provide technical leadership while collaborating with engineering teams.

As a Firmware Engineer, you will develop and maintain firmware for embedded systems, test and validate firmware, collaborate with cross-functional teams, and document technical details.

Seeking an experienced Hardware Engineer to design, develop, and optimize server hardware and liquid cooling infrastructure, collaborating with cross-functional teams and vendors.

As a Solutions Architect at CoreWeave, you'll lead customer engagement, optimize cloud infrastructure solutions, and collaborate closely with engineering teams on product development and enhancements.

Backend engineer building data-heavy, distributed streaming platforms. Design and operate resilient, high-throughput low-latency pipelines using JVM languages and streaming systems. Deploy and run services across cloud providers, use cloud primitives and infrastructure-as-code, and take ownership of delivery while collaborating with cross-functional teams.

Design, build, and operate backend services for data-heavy, distributed systems. Work with JVM languages, event streaming (Kafka/Kinesis/Flink/SQS), and multi-cloud infrastructure to deliver resilient, high-throughput, low-latency data pipelines. Own features end-to-end, write high-quality code, and collaborate across teams to drive delivery and platform improvements.

The Lead Systems Engineer oversees system-related projects, provides technical leadership, mentors engineers, and ensures infrastructure solutions meet quality standards.

Moonset Health seeks a versatile software engineer to join a small team, working across frontend, backend, and infrastructure to develop innovative health technology solutions.

Join Palantir's Production Infrastructure team to design, build, and operate large-scale platforms (Kubernetes PaaS, secure deployment, observability). Own the full product lifecycle, write production-quality code, collaborate with cross-functional teams, and work directly with customers (including civil and defense partners). Paired mentoring and hands-on deployment experience included.

Interns write production-quality code for deployment, observability, and environment platforms (Rubix, Apollo, Signals). Work includes full product lifecycle, collaboration with cross-functional teams, mentor pairing, and occasional field engagement with government or defense partners.

As a Principal Engineer, you'll architect backend services for financial products, integrate with platforms, champion security, scale systems, and elevate engineering practices while mentoring others.

As an Electrical Engineer, you will lead the integration of sensors and industrial components for agricultural robots, ensuring reliability and safety. Responsibilities include evaluating components, managing vendor relationships, and testing systems for performance in demanding environments.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

As a Staff Software Engineer, you'll design and operate scalable backend services, collaborate across teams, and ensure high system availability.

Develop and maintain firmware for embedded systems, collaborate with teams, troubleshoot issues, optimize performance, and mentor junior engineers.

Design, build, and operate globally distributed storage systems; own code from design to release; provision and benchmark storage hardware; model failure domains; build observability, runbooks, and automation; collaborate across teams to ensure reliability, performance, and scalability.

Design and build scalable microservices and platforms for AI security event processing, mentoring team members, and ensuring operational excellence.

Design and implement foundational layers of next-generation distributed storage and streaming systems. Own code end-to-end, architect consistency models, optimize storage engine performance, design data-centric APIs, and debug complex race conditions, partitions, and infrastructure-level failures. Work across system layers using Rust/C++ and interact with JavaScript/TypeScript as needed.

The role involves designing and implementing distributed storage solutions for AI workloads, developing scalable storage systems, optimizing performance, and mentoring engineers. It requires collaboration with various teams to ensure system reliability and efficiency.

Lead the evolution of CoreWeave AI Object Storage's security, manage cross-functional teams, and develop secure cloud-scale storage systems.

Develop and lead front-end web applications and APIs for Chewy's Discovery experience. Collaborate with product, design, data science, and infrastructure teams to optimize search, recommendations, performance, scalability, and 24x7 service reliability. Drive architecture, testing, deployment best practices, and technical leadership across the organization.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Design, test, calibrate, and validate inertial navigation products (INS/IMU) from prototype to production. Perform sensor calibration, numeric evaluation, simulations, data analysis, trade studies, and support qualification, documentation, customer requirements flow-down, and proposal efforts while mentoring junior engineers.

Lead systems engineering for avionics programs, owning requirements, integration, verification, and customer interactions. Mentor teams, manage risks, troubleshoot complex issues, and collaborate across software, hardware, and test disciplines to deliver airborne surveillance and navigation systems.

Design, build, and operate a scalable multi-tenant control plane for high-performance AI storage. Implement and optimize S3-compatible object storage and distributed filesystems, integrate dedicated storage clusters, improve reliability and observability, and collaborate with platform, compute, and operations teams to monitor and tune performance. Mentor engineers and contribute to scalable, durable storage architecture.