Top Tech Jobs & Startup Jobs in Seattle, WA

Lead development teams in creating scalable data platforms, focus on ETL/ELT pipelines, data architectures, mentoring junior engineers, and ensuring project alignment with business goals.

Lead architecture, development, administration, and automation for Atlassian Cloud B2B products (Jira/Confluence). Build Forge apps, manage plugins/integrations, troubleshoot escalations, gather and optimize requirements, document configurations, and support deployments and upgrades across cloud/on‑prem/AWS environments while partnering with stakeholders and vendors.

Lead technical teams to deliver large-scale data platform initiatives (data lakehouse) as product owner and delivery manager. Own product strategy and roadmap, partner with business stakeholders (Finance/HR), manage development, testing, implementation, and mentor engineers while ensuring on-time, on-budget delivery of enterprise analytics, BI, EPM and AI/ML data solutions.

Design, build, and maintain Identity Householding data products and scalable batch/real-time pipelines. Improve data models and code quality, increase test coverage, collaborate with product and engineering teams, participate in on-call support, code reviews, and CI/CD-driven deployments using Databricks, Spark, cloud databases, Airflow, and AWS S3.

Build and maintain performant, accessible front-end features and reusable UI components using React and TypeScript. Collaborate with backend, product, and QA to deliver pixel-perfect implementations, unit tests, and production issue resolution. Advocate for quality, optimize performance, and work within Agile teams to meet project deliverables.

As a Software Engineer II, you'll enhance observability solutions, build data pipelines, improve system monitoring, and collaborate on technical designs and code quality.

Develop and maintain Disney+ client applications for iOS, tvOS, and visionOS using Swift. Build complex user interfaces with UIKit/SwiftUI, write unit and integration tests, participate in code reviews, collaborate with product and design teams, and specialize in Apple platform technologies to deliver high-quality streaming experiences.

Lead and deliver HR-focused enterprise application projects end-to-end. Define scope, manage schedules, risks, finances, and stakeholders; produce status reporting and visualizations; support Agile/Waterfall models and PMO standards using tools like Smartsheet, Clarity, Jira, and MS Office.

Lead end-to-end product lifecycle for data governance products: set strategy, roadmaps, requirements, and success metrics; drive cross-functional delivery, integrations, and technical decisions; use research and KPIs to prioritize; improve reliability and usability; and communicate outcomes to stakeholders.

Lead development and productionization of personalization and recommendation algorithms (ranking, retrieval, content/user understanding, post-ranking). Apply modern AI/LLM techniques, design and run offline and online experiments, drive technical vision and roadmap, collaborate with engineering/product/data teams, and build maintainable, production-grade ML systems at scale.