Top Tech Jobs & Startup Jobs in Seattle, WA

Define and govern end-to-end enterprise architecture across frontend, backend, integration, and cloud platforms. Establish architectural vision, guardrails, and decision frameworks; drive platform strategy, resilience, scalability, and governance. Collaborate with architects, tech leads, product, security, and operations; mentor technical leaders and guide platform, frontend, backend, and cloud implementations for web, mobile, desktop, and retail environments.

Design, build, and deploy production-grade generative AI systems: multi-agent orchestration, advanced RAG with vector databases, integrate/swap LLMs, fine-tune models, optimize prompts and latency, and containerize services with monitoring and CI/CD.

Lead quality engineering for cloud-based financial advisor platforms by designing and implementing automated tests, test strategies, CI/CD pipelines, observability, and mock services. Collaborate with product, architecture, and engineering teams to modernize applications, coach peers, and ensure high-quality deliveries using Agile practices.

Lead design and maintenance of test automation frameworks for microservices, focusing on API, contract, integration, end-to-end, performance, and CI/CD-integrated testing. Apply Domain-Driven Design to create test scenarios, mentor junior QA, track quality metrics, and collaborate with architects, DevOps, and product teams to ensure reliability and scalability.

Design, build, and modernize cloud-native applications on Azure (AKS, App Services, Functions). Maintain and enhance legacy React/.NET applications, develop REST APIs, monitor performance, and migrate .NET apps to microservices. Act as subject-matter expert in asset management, communicate with stakeholders, and support full-stack development across frontend and backend technologies.

Lead design, development, and deployment of production-grade Generative AI applications (LLM-based chatbots, agents, RAG systems). Hands-on coding in Python, integrate and benchmark models, build ingestion and vector retrieval pipelines, design architecture for performance and cost, mentor engineers, and implement AI governance, safety, and monitoring.

Design, build, and maintain scalable Java Spring Boot microservices and REST APIs. Deploy and operate cloud-native applications on GCP, implement CI/CD, optimize performance and databases, ensure security and reliability, collaborate with cross-functional teams, and troubleshoot production issues.

Lead Quality Engineering strategy and execution for cloud-native digital commerce and loyalty platforms. Define test strategies, automation frameworks, CI/CD-driven continuous testing, environment and test data management, and mentor QA teams to ensure scalability, resilience, security, and release readiness across integrations and event-driven systems.

Lead architecture and delivery of large-scale Java microservices. Define standards, mentor teams, design RESTful and event-driven systems, ensure scalability, resiliency, CI/CD, observability, and data governance while collaborating with stakeholders and managing technical risk.

Build and scale production Generative AI applications: design multi-agent systems and LangGraph workflows, implement advanced RAG with vector DBs, integrate and fine-tune LLMs, deploy FastAPI async services in Docker, and optimize GenAI performance, cost, and monitoring.