Top Tech Jobs & Startup Jobs in Seattle, WA

Own the AI use-case backlog and prioritize agent-assist scale-out. Translate business intent into Epics, Features, and User Stories with explicit acceptance criteria in Azure DevOps. Run sprint planning, refinement, reviews, and demos on a fast-paced AI-infused agile cadence. Leverage AI tooling to draft requirements, generate stories, and author acceptance criteria. Coordinate with stakeholders and transformation advisors to meet call reduction, AHT, and deflection targets.

Lead UX strategy and mentor a UX/UI team to deliver user-centered designs. Plan and run user research, create personas, journeys, wireframes, and prototypes, ensure accessibility and cohesive cross-platform experiences, define KPIs, maintain design systems, and collaborate with Product, Engineering, and stakeholders to drive implementation and product outcomes.

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.

Senior systems analyst responsible for analyzing end-to-end trading workflows, translating business needs into requirements, performing data mapping and UAT, and bridging mainframe and distributed systems. Deeply analyzes COBOL/JCL/DB2/VSAM/CICS applications, integrations (REST/SOAP/JSON/XML), and system interactions to ensure data integrity and drive solutions with product and engineering teams.

Lead testing strategy and automation for enterprise web applications and APIs. Build and maintain Java-based Selenium/Serenity automation, design reusable test artifacts, participate in Agile ceremonies, log and track defects, verify production releases, and promote a quality-first mindset across teams.

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.

Lead design and implementation of high-performance Apache Camel routes and microservices, apply enterprise integration patterns, migrate TIBCO processes to Camel, optimize Java/Camel performance to meet SLAs, implement secure MFT/encryption and protocol integrations (SFTP, AS2, JMS/Kafka, REST/SOAP), build containerized solutions (Docker/Kubernetes/OpenShift), enforce rigorous testing, and mentor the engineering team.

Benchmark and optimize latency and throughput for an agentic AI platform. Stress-test multi-agent concurrency, RAG/vector DB retrieval, token throughput, orchestration hand-offs, and integrate automated performance regression tests into CI/CD while balancing cost versus performance.

Define, design, and implement scalable, secure mobile and web application architectures. Lead technology decisions, mentor engineering teams, conduct architecture and code reviews, drive integrations, CI/CD, and cloud strategies, and enforce security, performance, and best practices across platforms.

Customer-facing Forward Deployed Engineer who architects, implements, and optimizes agentic AI proofs-of-concept and enterprise deployments. Leads solution design, agent orchestration, platform development, performance optimization, and cross‑functional delivery while mentoring distributed technical teams and ensuring production-ready MLOps, FinOps, and security/compliance practices.