Top Tech Jobs & Startup Jobs in Seattle, WA

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.

Design and deliver high-quality user interfaces from concept through hand-off. Create wireframes, flows, prototypes, and visual assets; conduct user research; collaborate with product and engineering; present designs to stakeholders; establish design standards.

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 maintain backend services, APIs, and platform capabilities. Lead architecture and technical decisions, own features end-to-end, manage release readiness and production deployments, coordinate cross-functional teams, implement CI/CD and monitoring, and apply SRE/DevOps practices to ensure reliable, scalable systems.

Lead strategy, roadmap, and delivery for consumer-facing digital products. Own discovery, customer research, PRDs, backlog prioritization, Agile delivery, metrics, experimentation, and cross-functional alignment. Incorporate AI-enabled practices and partner with engineering, design, analytics, and stakeholders to iterate and optimize product outcomes.

Lead design and delivery of enterprise Pega BPM/case management solutions for financial services. Architect on Pega Infinity/8.x, Constellation/Cosmos, integrate with RDBMS/Oracle, AWS/Pega Cloud, implement connectors, decisioning, BIX, schedulers, and support deployments (containers optional). Provide technical leadership, stakeholder engagement, and work within Agile delivery.

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, build, and deploy production generative AI applications: orchestrate multi-agent workflows, implement advanced RAG with vector databases, integrate/benchmark LLMs, fine-tune models, and deploy scalable FastAPI-based services with monitoring, CI/CD, and Dockerized production pipelines.

Execute and develop QA test plans and protocols for pre-release, upgrade, and current software versions. Write code and testing protocols, evaluate compatibility with communications hardware/software, identify and document bugs and root causes in technical bug reports.

Owns product management activities and roadmap for assigned products. Conducts technical and market research, defines product requirements with engineering and UI, coordinates cross-functional teams, builds business cases and vendor relationships, manages ROI and financial forecasting, measures impact of features, and identifies opportunities for innovation and growth.