Top Tech Jobs & Startup Jobs in Seattle, WA

Lead strategy, governance, and delivery of trusted digital interaction and behavioral data across web and mobile. Define metadata, taxonomy, measurement, quality, lineage, access, and controls to enable reporting, experimentation, personalization, AI/ML, and marketing activation while coaching teams and partnering with cross-functional stakeholders.

Design, build, automate, and operate enterprise-scale Microsoft Hyper-V virtualization across global data centers. Lead architecture, performance benchmarking, full-stack troubleshooting, automation (PowerShell, DSC, APIs), C#/.NET platform development, security hardening, documentation, and mentoring to ensure resilient, high-performance virtualization services.

Lead design, build, and operate scalable ML training platform on cloud. Optimize GPU single-node and distributed training, manage Kubernetes-based infrastructure, enable GenAI/LLM fine-tuning workflows, implement observability, improve developer CI/CD and automation, and enforce governance, security, and responsible AI practices.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Lead architecture for global cloud-based eCommerce payment platforms. Advise stakeholders on design and technology selection, define multi-year roadmaps, apply AI-enabled architecture patterns, ensure security/compliance, evaluate vendors, and present strategies to senior leaders to modernize merchant acquiring, payment gateway, and developer-facing APIs.

Provide comprehensive financial planning and investment advice to individuals and families, build and manage a book of business, acquire and deepen client relationships, deliver goals-based planning, educate clients on digital tools, and coordinate with Chase partners to offer holistic financial solutions.

Lead architecture and development of production-grade agentic AI and multi-agent systems for reliability engineering. Design autonomous agents, manage AI infrastructure and deployment, ensure observability/security/guardrails, automate remediation, evaluate vendors and models, and produce secure, high-quality production code to improve system reliability and engineering productivity.

Lead design and delivery of reliable, scalable AI/ML platform services. Build production-grade code, reusable APIs/SDKs, observability and resilience tooling, define reliability standards, support on-call incident resolution, and mentor engineers to enable secure, compliant generative AI use cases.

Provide dedicated business and client support to Financial Advisors and ultra-high-net-worth clients: manage onboarding and account maintenance, execute trades and orders, prepare portfolio reviews, coordinate with internal teams, and support firm initiatives while ensuring regulatory and firm policy compliance.

Lead technical direction for cloud platform engineering: design, build, and operate secure, scalable platforms supporting AI/ML and data initiatives. Drive DevEx, CI/CD, DevSecOps, observability, self-service developer workflows, and AI-assisted development including agent and MCP integrations.