Top Tech Jobs & Startup Jobs in Seattle, WA

Provide 24/7 production support for Hadoop applications in a Cloudera data lake: monitor SLAs, triage and remediate job failures, collaborate with upstream/downstream teams, analyze and debug shell scripts/Python/Perl, manage large SQL systems, and generate reports for senior management.

Lead Salesforce architecture and technical delivery for enterprise projects, focusing on Marketing Cloud and Financial Cloud. Design integrations and SOA components, develop Apex/Visualforce/Lightning solutions, manage data model and APIs, and provide technical leadership to break solutions into executable work.

Develop and maintain automated test frameworks and scripts using Selenium, Java, BDD, UFT and VBScript. Perform API and database testing, use test management tools (Quality Center, JIRA), work within Agile, and provide production support including flexible hours/weekends. Communicate effectively and follow QA best practices in a finance domain.

Design, implement, and maintain data quality processes using cloud platforms (Azure/AWS/GCP). Collaborate with stakeholders to define standards, perform data profiling and cleansing, document issues and remediation, generate quality metrics, and support cross-functional teams to improve data architectures and integration.

Lead a development team to design, build, and maintain conversational AI solutions on the Kore.AI platform. Architect scalable chatbots, implement NLP/NLU, integrate cloud and CI/CD pipelines, perform code reviews, troubleshoot issues, and provide technical leadership and mentoring across cross-functional teams.

Design, develop, and maintain high-performance web applications and WebAPIs using .NET 6 and React. Build scalable, reliable services, optimize performance, troubleshoot defects, and collaborate with product and development teams. Use Azure platform services, NoSQL/SQL databases, CI/CD pipelines, and propose continuous improvements.

Lead discovery and requirements gathering, define business and technical requirements, write user stories with acceptance criteria and DoD, support Scrum Master/TPM on backlog prioritization and sizing, and apply strong knowledge of AEM (templates, components, workflows, integrations/APIs).

Lead mobile automation testing: design, implement, and maintain automated test suites and frameworks, collaborate with cross-functional teams, mentor engineers, analyze results, and integrate with CI/CD pipelines to ensure high-quality mobile applications.

Design and enforce architecture and engineering best practices for Azure-based microservices. Create solution artifacts, ensure code quality, implement containerized deployments (Docker/AKS), integrate cloud services, secure SSO/auth, and provide technical leadership.

Design, build, and deploy machine learning and generative AI models (including LLMs and text-to-image). Analyze large datasets, run A/B and statistical tests, collaborate with data engineering and engineering teams, and create dashboards/visualizations to communicate insights. Optimize data pipelines and model performance to support data-driven decisions.