Top Tech Jobs & Startup Jobs in Seattle, WA

Lead product development for a unified payments platform covering pay-ins, payouts, merchant acquiring, settlement, routing, and reconciliation. Produce PRDs, process maps, API specs, and user stories. Collaborate with engineering, QA, UX, and data teams; manage backlog, sprints, QA/UAT, and releases. Design payment orchestration, multi-rail routing, and operationalize billing, risk, and support. Identify and integrate AI-driven product opportunities.

Design, test, and document prompts and prompt libraries to optimize AI language model outputs. Collaborate with product, data, and ML engineers to integrate prompt solutions, run A/B experiments, measure performance, and maintain versioned documentation. Support TIBCO-specific implementation and stay current on AI/NLP techniques.

Design, build, and maintain scalable backend services using Java (Spring) and Python (FastAPI/Django). Implement REST/GraphQL APIs, manage SQL and NoSQL databases, develop microservices, ensure security (OAuth2/JWT), write tests (JUnit/pytest), optimize performance, and collaborate with frontend and DevOps teams in Agile.

Lead backend development of scalable, secure Node.js APIs and microservices. Participate in architecture and system design, integrate databases and third-party services, support CI/CD and cloud deployments, implement monitoring and performance troubleshooting, and collaborate with cross-functional teams.

Lead end-to-end delivery of a retail systems modernization MVP focused on customer workflows (Search, Quoting, Inventory, Payment). Manage discovery, scope, API-based integrations, UX alignment, device readiness, stakeholder communication, risk/scope, and rapid pilot rollout readiness.

Serve as liaison between business stakeholders and technical teams to implement and integrate the Finxact core banking platform. Gather and document requirements, configure integrations, define core banking workflows, produce functional specifications and user stories, support sprint activities, UAT, and production validation, and monitor project issues and risks.

Hands-on technical lead to design and implement production-ready AI/ML solutions (50-70% coding). Responsibilities include end-to-end ML workflows, data preparation, model integration, scalable API/microservice architectures, cloud-native deployment (Azure/AWS), data engineering with Pandas/NumPy, use of Scikit-Learn/TensorFlow/PyTorch, and production DevOps practices. Individual contributor role with extensive client travel.

Design, develop, and maintain server-side APIs and network components using Node.js/NestJS. Ensure database performance (MongoDB), caching (Redis), security, testing (Jest), and API documentation (Swagger). Collaborate with front-end teams, run diagnostics, fix defects, document processes, and recommend technical improvements.

Design, implement, and test Java-based backend features and RESTful APIs using Spring Boot. Integrate with Vue.js front-end, write JUnit/Mockito tests, manage CI/CD pipelines, deploy containerized apps to AWS EKS, and build serverless functions with AWS Lambda.

Lead execution of B2C/B2B product roadmaps, prioritize backlogs, collaborate with UX, developers and stakeholders, perform data analysis, troubleshoot performance issues, influence cross-functional teams, prepare product documentation, and drive continuous product improvements to meet customer and business objectives.