Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and maintain scalable batch and streaming data pipelines using Python, SQL, Kafka, and GCP. Develop REST and GraphQL data services, CI/CD automation, observability, and data-quality frameworks. Integrate ML and NLP models into production workflows, including continuous retraining and real-time inference. Support structured and unstructured healthcare datasets, distributed systems, microservices, and reliable data infrastructure while collaborating with data science and MLOps teams.

Develop and maintain scalable Java and Spring Boot backend applications, microservices, and RESTful APIs. Responsibilities include database integration, code reviews, performance optimization, production troubleshooting, testing, CI/CD, cloud deployment, and collaboration with product, QA, and DevOps teams.

Lead iOS and Android mobile application development. The job description does not provide further responsibilities, qualifications, or technical details. Compensation ranges from $52,000 to $182,000 annually, with benefits available to full-time employees. Independent contractor arrangements are also available.

Develop and maintain scalable Java and Spring Boot backend applications and REST APIs. Optimize CPU, memory, and overall application performance; identify bottlenecks; resolve production issues; and contribute to architecture, code reviews, reliability, and scalability. The role also involves Node.js or Python FastAPI services, cross-functional collaboration, and potential work with GraphQL, generative AI, cloud platforms, containers, CI/CD, and monitoring tools.

Design and implement enterprise AI architectures spanning GenAI, machine learning, RAG, agentic workflows, data pipelines, APIs, and production deployments. Build Python prototypes and AI services, define governance and evaluation frameworks, integrate models with enterprise platforms, and guide engineering teams through implementation. The role requires hands-on expertise with LLM applications, orchestration frameworks, model lifecycle management, monitoring, security, and scalable production AI systems, preferably in financial services.

Designs, builds, and operates scalable enterprise data platforms supporting ingestion, processing, storage, governance, analytics, and AI/ML. Responsibilities include developing batch and real-time pipelines, lakehouse and warehouse architectures, orchestration, infrastructure automation, CI/CD, monitoring, security, cost optimization, and observability. The role partners with data, ML, DevOps, security, and application teams, troubleshoots complex platform issues, establishes reusable engineering standards, contributes to architecture strategy, and mentors engineers.

Design end-to-end web and mobile experiences for enterprise tools and a B2C marketplace. Conduct user research and usability testing, create UX flows and high-fidelity interfaces in Figma, collaborate with Product and Engineering, and develop scalable component libraries and design systems. Balance user needs, business goals, and technical constraints while clearly communicating design decisions.

Systems Analyst bridging business and technology for an enterprise API integration platform. Responsibilities include gathering requirements, analyzing current and future processes, defining functional and technical specifications, supporting integration design, conducting gap analysis, assisting testing and UAT, monitoring performance, and supporting change management and deployment. The role requires collaboration with stakeholders, developers, and quality engineering teams to deliver reliable integration solutions.

Leads complex enterprise technology projects across business, product, and engineering teams. Responsibilities include project planning, roadmap development, risk and dependency management, delivery governance, release coordination, stakeholder communication, KPI tracking, resource and budget management, process improvement, and team coaching. The role promotes Agile and modern delivery practices while ensuring quality, execution accountability, and alignment with strategic business objectives.

Designs and maintains automated testing frameworks for enterprise applications. Develops automation scripts, validates APIs and web services, performs functional, regression, integration, and end-to-end testing, and applies BDD practices. Supports CI/CD integration, analyzes QA metrics, improves testing processes, and collaborates with engineering and business stakeholders to ensure software quality, reliability, performance, and maintainability.