Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and scale production Generative AI applications including multi-agent systems, advanced RAG pipelines, and local/frontier LLM deployments. Implement high-performance backends with FastAPI and async Python, fine-tune and quantize models, integrate vector databases and retrieval systems, and deploy/monitor containerized AI services for reliability, latency, and cost optimization.

Design, build, and maintain ETL/ELT data pipelines and orchestration using Airflow, Python, and PySpark. Develop custom connectors, implement DataOps and CI/CD for data workflows, monitor and troubleshoot pipelines, validate data quality, and document processes while collaborating with cross-functional teams and supporting large-scale distributed data systems.

Design and lead backend architecture for large-scale, cloud-native, event-driven e-commerce and loyalty platforms. Define API, integration, data persistence, observability, and IaC standards using Python/FastAPI and AWS. Provide technical leadership, governance, and modernization for high-throughput, resilient, secure, and scalable customer-facing systems.

Lead front-end platform strategy and architecture for React applications. Build and govern reusable component libraries and design systems, mentor engineers, collaborate with product/UX, and ensure performance, security, and scalability across large distributed teams.

Lead development of a unified payments platform covering pay-ins, payouts, merchant acquiring, settlement, routing, and reconciliation. Produce PRDs, user stories, API specifications, process maps, and transaction journeys. Partner with engineering, QA, UI/UX, and data teams to deliver scalable payment orchestration, manage backlog and releases, support UAT and operationalization, and integrate AI-driven product enhancements.

Design, develop, test, release, and maintain high-performance React web applications and APIs. Collaborate with product, design, backend, and QA teams; write reusable code and unit/integration tests; implement CI/CD and automated testing; mentor junior developers and troubleshoot performance across browsers and devices.

Lead system architecture for large-scale backend and platform systems across application, integration, data, and cloud layers. Define standards, review designs, guide teams, resolve technical risks, and influence platform direction while ensuring scalability, security, resiliency, and production readiness.

Design, build, and deploy agentic AI and multi-agent systems using LangChain/LangGraph and ADKs. Implement LLM orchestration, RAG pipelines, vector DBs, React-based AI interfaces, and production-grade infrastructure with observability, security, and optimization.

Design and document consistent software architecture across the engineering organization, guide architecture decisions, support developers on design issues, implement and improve core infrastructure and SDLC, develop technical/business approaches and tools, resolve technical roadblocks, and perform performance characterization and trade-off studies.

Lead migration from AEM 6.5 to AEMaaCS: assess implementations, architect cloud-native components, manage content migration with CTT, redesign dispatcher, implement CI/CD via Adobe Cloud Manager, modernize integrations, train teams, and provide post-migration support and technical documentation.