Top Tech Jobs & Startup Jobs in Seattle, WA

The Senior Staff Machine Learning Engineer will lead innovative AI engineering projects and optimize algorithms for e-commerce applications, collaborating across teams to drive significant business impact.

Lead database engineering and AI-driven automation for high-traffic e-commerce systems. Manage Aurora MySQL/PostgreSQL and multiple NoSQL stores, optimize performance, ensure 5-6 nines availability, build automation and self-healing using Python and AI, run on-call rotations, execute upgrades/migrations, and collaborate with dev, infra, and security teams.

The Senior Staff Backend Engineer will enhance cloud infrastructure's reliability and efficiency, design scalable systems, and collaborate across teams to improve architecture and deployment automation.

Lead architecture and implementation of scalable, low-latency data processing and serving infrastructure for real-time ad delivery. Build self-service data platform, benchmark and monitor performance, ensure high availability, capacity planning, incident response, and collaborate with cross-functional teams to deploy production data solutions on cloud platforms.

Lead design and implementation of a next-generation Resource Manager and AI developer tools. Build scalable, event-driven microservices, improve ML workflow orchestration, model management, and observability. Mentor engineers, drive architectural decisions, collaborate with product and compliance, and take end-to-end ownership for platform reliability, performance, and operations.

Lead the architectural design and implementation of a highly scalable workflow engine for Coupang, ensuring extreme availability and AI integration while collaborating across teams.

The Product Manager is responsible for defining the product strategy and lifecycle for the HPC compute platform, managing customer-ready compute products, and driving improvements to compute offerings based on enterprise AI workload requirements.

The Staff Backend Engineer will architect and implement a scalable, reliable workflow engine, focusing on extreme availability and integrating AI for automation.

Design, build, and maintain observability platforms and tooling (metrics, logs, traces) for large-scale distributed systems. Collaborate with engineering and SRE teams to define SLOs/KPIs, evaluate observability tools, troubleshoot incidents, drive standardization, and mentor engineers while improving monitoring, alerting, and telemetry practices.

Design and build scalable backend services for real-time distribution of orders, ensuring reliability and operational excellence in a fast-paced environment.