Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.

Leads complex SaaS and digital banking implementations, including platform configuration, customization, validation, third-party integrations, troubleshooting, testing, documentation, and post-go-live stabilization. Serves as the primary technical resource for client engagements, coordinating with project managers, engineers, vendors, and stakeholders. Provides technical leadership, mentors junior engineers, resolves advanced issues, recommends implementation improvements, and supports scalable delivery across multiple concurrent projects.

Drives complex new sales, expansions, renewals, and strategic alignment opportunities for digital banking and fintech solutions. Manages full enterprise sales cycles, executive relationships, forecasting, pipeline and CPQ processes, negotiations, and cross-functional deal execution. Identifies expansion opportunities, mitigates deal risks, analyzes territory performance, and contributes to sales effectiveness and peer development.

Leads complex digital banking implementation programs and strategic customer onboarding engagements. Coordinates cross-functional teams, executive stakeholders, schedules, risks, dependencies, and escalations. Develops scalable governance, reporting, delivery methodologies, and operational improvements while supporting customer readiness and successful implementations. Mentors program managers and contributes to capacity planning, portfolio management, forecasting, automation, and implementation strategy.

Build core banking activation experiences for administrators and customers by developing streamlined user flows, robust APIs, and third-party integrations. Design and implement scalable microservices using domain-driven design, emphasizing clean, tested, documented code, error handling, logging, and performance. Contribute to system architecture, advocate for technical decisions, review code, and provide technical guidance to teammates in an Agile Scrum environment.

Build core digital banking experiences for bank administrators and customers. Develop streamlined user flows, robust APIs, and third-party integrations such as Plaid and SendGrid. Write clean, documented, tested code with strong error handling, logging, and performance considerations. Apply system design, domain-driven design, and microservice architecture while working in an Agile Scrum environment. Provide architectural guidance, technical recommendations, and code reviews to improve team output.

Leads a team of Account Executives focused on acquiring new financial institution clients. Owns sales performance, forecasting, pipeline health, deal execution, methodology adoption, and cross-functional coordination through contracting and implementation alignment. Coaches sellers, improves win rates and pipeline quality, partners with Marketing and SDR leadership, and translates complex SaaS solutions into business value for financial institutions.

Leads architecture, development, deployment, and operation of scalable Java and Kotlin applications. Responsibilities include backend-focused full-stack development, Kafka data streaming, cloud-native infrastructure, observability, performance optimization, incident response, technical leadership, mentoring, project planning, and cross-functional collaboration. The role also drives AI-assisted engineering practices and modernization initiatives while supporting on-call operations.

Leads the design, development, deployment, and support of scalable, fault-tolerant software applications. Responsibilities include architecture, coding, debugging, performance optimization, cloud-native and microservices development, Kubernetes operations, production monitoring, incident response, code reviews, technical planning, mentoring, and cross-functional collaboration. The role also contributes to product roadmaps, engineering standards, automation, and on-call support.

Build and support production AI agents, automations, dashboards, data pipelines, and integrations for business teams. Lead discovery, technical design, development, testing, deployment, monitoring, evaluations, responsible AI safeguards, and production support. Partner cross-functionally, create reusable platform components, track adoption and business outcomes, mentor others, and contribute to shared AI standards and capabilities.