Top Tech Jobs & Startup Jobs in Seattle, WA

Design, deploy, operate, and maintain secure cloud products and services. Automate vulnerability mitigation and coordinate remediation activities. Define system requirements and architectures, ensure compliance with open systems standards, develop information management solutions across platforms and APIs, analyze workflows and implement improvements, and provide daily supervision and guidance to assigned staff.

The Cloud Security Architect leads the design and implementation of Zero Trust solutions across cloud and on-premises environments, ensuring compliance and security posture validation while managing DevOps processes and projects.

The IT Subject Matter Expert will provide technical expertise and support for enterprise IT initiatives, governance, and modernization efforts within a federal environment, requiring strong analytical and problem-solving skills.

Design, architect, and implement enterprise geospatial solutions (ArcGIS Enterprise) for cloud and hybrid environments. Lead migrations, system integration, governance, cybersecurity alignment, and provide technical leadership, O&M support, and stakeholder enablement for federal geospatial capabilities.

Develop, enhance, and maintain enterprise web-based GIS applications, dashboards, APIs, and geospatial services. Integrate GIS with enterprise systems, support ArcGIS Enterprise, assist modernization to cloud, perform testing, troubleshooting, deployment, documentation, and user support within federal environments.

Design, develop, and maintain geospatial system architectures, ensuring compliance with federal standards while optimizing GIS applications and data infrastructure.

The Project Manager oversees contract performance, manages IT support activities for the FEC, coordinates with technical teams, and ensures compliance with reporting standards and SLAs.

The GIS Project Manager will oversee DHS initiatives, manage geospatial and IT project delivery, and facilitate collaboration across teams.

Design, build, and maintain scalable ETL/ELT pipelines and Lakehouse solutions; ingest and transform diverse data formats; optimize Databricks and SQL Server environments; implement data quality, lineage, and governance; support batch and streaming ingestion; collaborate with analysts and stakeholders to enable analytics (fraud/anomaly detection, financial oversight); troubleshoot and improve pipelines. Candidates must be willing to undergo a U.S. government background investigation.

Lead development, validation, deployment, and quality control of advanced analytics and ML solutions for fraud detection, waste and abuse, investigative analysis, and program integrity. Provide technical leadership, translate stakeholder requirements, mentor team members, and ensure models are explainable, defensible, and production-ready.