Top Tech Jobs & Startup Jobs in Seattle, WA

Lead design and delivery of domain-driven mobile applications using React Native. Define architecture, integrations (message queues, event streaming, API gateways), CI/CD with Azure DevOps, automated testing, and observability. Mentor teams, write clear user stories, apply XP/DDD and value-based prioritization, reduce technical debt, and collaborate with stakeholders to align delivery with business outcomes.

Develop and maintain web applications across the full stack using Java/Spring Boot backend and Angular frontend. Build microservices, design RESTful APIs, integrate frontend components, work with Kafka and AWS S3 as needed, and collaborate with cross-functional teams to troubleshoot and deliver solutions throughout the SDLC.

Build and maintain scalable Python/FastAPI backend services, integrate generative AI and LLMs, implement RAG/vector DB semantic search, design agent-based workflows, develop APIs and microservices, enable async/event-driven processing, support cloud-native deployments (Docker/Kubernetes), and collaborate across frontend, DevOps, and product teams to deliver secure, observable AI-driven employee support platform.

Design, build, and scale production-ready generative AI systems: multi-agent workflows, advanced RAG pipelines, LLM integration and fine-tuning, scalable FastAPI backends, Dockerized deployments, monitoring, and GenAI optimization for latency, cost, and reliability.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

Lead end-to-end delivery of complex cross-functional programs across the payfac and platform stack. Coordinate product, engineering, design, and developer experience teams to deliver API-based products, documentation, SDKs, and platform expansions into new segments. Manage plans, milestones, risks, go-to-market readiness, partner onboarding, and implement scalable program practices.

Design, develop, and deploy machine learning and deep learning models; build end-to-end ML pipelines including preprocessing, training, evaluation, and deployment; perform feature engineering on large datasets; deploy and monitor models on cloud platforms; collaborate with cross-functional teams to integrate AI solutions and retrain models as needed.

Lead design and delivery of enterprise Pega BPM/Case Management solutions for financial services. Implement Pega Infinity (24.x+), Constellation/Cosmos, perform upgrades, integrate with RDBMS/Oracle and AWS/Pega Cloud, and support deployment, decisioning, connectors, and frontend scripting. Collaborate with stakeholders in Agile delivery.

Build and deploy generative AI solutions: develop production-grade Python code, LLM-based systems, agent frameworks, RAG pipelines with vector databases, APIs, cloud deployments, and MLOps practices while ensuring model evaluation, guardrails, and observability.

Design, develop, and maintain automated test frameworks for front-end and web services. Integrate tests into CI/CD, write unit/component/integration/performance tests, debug front-end and APIs, collaborate with Agile teams, and drive testability, code quality, and release reliability.