Top Tech Jobs & Startup Jobs in Seattle, WA

Develops and manages a portfolio of large business clients, acquiring new relationships and deepening existing ones. Provides customized deposit, cash management, credit, and financial solutions; manages opportunities up to $15 million; builds referral networks; partners with product specialists and internal banking teams; and ensures strong client experiences while adhering to risk management and regulatory requirements.

Leads software engineering and site reliability efforts, delivering secure, scalable production systems. Responsibilities include system design, coding, testing, troubleshooting, automation of recurring remediation, operational stability, vendor architecture evaluations, and adoption of AI-assisted engineering practices with strong validation, security, and responsible-use standards.

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.

Generates new treasury management business, expands existing client relationships, and delivers consultative financial solutions. Develops localized market and product strategies, partners with bankers and product teams, leads client business process reviews, and provides thought leadership on working capital solutions. Manages non-credit risk and relationship profitability while meeting sales goals and positioning complex treasury products.

Leads product portfolio operations and cross-functional transformation initiatives. The role coordinates portfolio reporting, communications, dependencies, stakeholder readiness, process improvements, policy changes, risk management, benefits realization, and AI adoption. It requires influencing senior stakeholders, managing multiple priorities, driving scalable operational improvements, and fostering innovation, accountability, and employee growth.

Lead an agile engineering team to design, build, and operate secure, scalable 24x7 enterprise data platform services. Provide technical guidance, produce high-quality production code, drive product and design decisions, and advocate firmwide engineering practices and modern technologies.

Designs, develops, and troubleshoots secure, scalable ML software systems and services. Builds production code, architecture artifacts, APIs, and distributed microservices; analyzes data to improve applications and system architecture. Uses AI-assisted development tools responsibly, validates generated outputs, and guides peers on secure engineering practices. Requires Python and ML framework expertise, cloud-native technologies, public cloud experience, distributed systems knowledge, and Cassandra or equivalent NoSQL experience. Preferred experience includes GPU workloads, model serving, distributed inference, model compression, and edge deployment.

Leads infrastructure engineering teams responsible for network risk identification, remediation, audit readiness, operational controls, and resilient on-premises and cloud environments. Oversees execution, stakeholder management, leadership reporting, runbooks, KRIs/KPIs, and compliance. Partners with Cyber, Technology, and Operations teams while guiding safe adoption of enterprise-authorized AI for infrastructure workflows. Requires network and infrastructure expertise, automation skills, cloud and hybrid environment experience, risk and controls familiarity, and team leadership.

Designs, develops, and troubleshoots secure, scalable ML systems and services. Builds production software in Python using ML frameworks, cloud-native technologies, distributed systems, microservices, and NoSQL databases. Creates architecture artifacts, analyzes large datasets, improves system reliability and performance, and uses AI-assisted development tools responsibly. Preferred experience includes GPU workloads in Kubernetes, model-serving frameworks, distributed inference, model compression, and edge deployment.

Provide 24/7 cybersecurity incident management and response support within a global command center and security operations center. Execute incident playbooks, coordinate cross-functional stakeholders, communicate with senior management, document events, and support mitigation and remediation. Analyze operational metrics, improve processes, contribute to research and internal tools, and help maintain infrastructure stability and resiliency during high-pressure security incidents.