Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the architecture and implementation of JPMC-VPC, a software-defined networking platform. Designs control, distribution, and data planes, gateways, load balancers, and IPAM systems; writes production code; develops reusable frameworks; drives modernization, scalability, resilience, and operational stability. Collaborates with vendors, open-source communities, and cross-functional stakeholders while providing strategic technical leadership across networking and distributed systems.

Leads enterprise infrastructure architecture strategy across on-premises compute, virtualization, containers, networking, security, AI infrastructure, and sovereign environments. Establishes architecture standards, governance frameworks, reference designs, infrastructure-as-code practices, and technology guardrails. Advises senior leadership, conducts design and risk reviews, drives cross-organizational alignment, and guides modernization across large-scale platforms.

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.

Designs scalable software frameworks and production systems for high-performance computing, optimizing AI/ML model training and inference across compute architectures. Leads technical design reviews, benchmarking, telemetry, secure coding, and operational improvements. Develops enterprise agentic AI engineering workflows with governance, validation, auditability, security, and resiliency guardrails. Mentors engineers and drives adoption of HPC, AI/ML, and automation practices across teams.

Leads and develops Relationship Managers serving large corporate clients in Merchant Services. Oversees portfolio performance, coaching, complex negotiations, client retention, payments optimization, and strategic collaboration across the organization. Directly manages select high-value relationships, supports product initiatives, improves processes, and ensures teams maintain current industry expertise. Requires extensive payment processing knowledge, C-suite client experience, contract negotiation, and national travel up to 30%.

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.

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.

Build and operate scalable machine learning training platforms and pipelines across AWS and other cloud environments. Optimize GPU-based single-node and distributed training for performance, cost, stability, and reproducibility. Develop Kubernetes infrastructure, GenAI and LLM fine-tuning workflows, observability, CI/CD automation, governance controls, and developer self-service tools. Partner with data engineering and platform teams while applying secure, responsible AI-assisted development practices.

Lead complex technology programs from planning through delivery, managing technical requirements, resources, budgets, timelines, risks, and cross-functional stakeholders. Apply analytical reasoning, Agile practices, and enterprise-authorized AI capabilities to improve planning, governance, reporting, and risk synthesis. Partner with engineering, product, and business teams to align deliverables with organizational goals, validate AI-assisted outputs, and drive continuous improvement. A development or SRE background and experience leading programs are required; Generative AI development experience is preferred.

Design, build, and operate AI-enabled applications and ML/LLM platforms. Deliver production-quality code, SDK/REST integrations, MLOps pipelines, model/versioning and CI/CD, distributed fine-tuning and evaluation, and reusable platform components. Drive adoption of agentic AI workflows, enforce responsible AI and security controls, automate reliability, and influence senior stakeholders to align platform roadmaps with business outcomes.