Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and develop security solutions for Vulnerability Management, ensuring secure systems through collaboration, automation, and design excellence. Mentor teams and enhance security capabilities.

Lead design, development, and deployment of large-scale distributed AI applications (voice/IVR/chat). Build multi-agent systems, collaborate with product and data science, ensure reliability/scalability, apply AI/ML models into production, use container orchestration and cloud services, and drive best practices across teams.

The Staff Engineer will develop and implement AI systems, mentor engineers, and enhance workflows using Generative AI, focusing on scalability and reliability.

The Senior Staff Engineer will lead technical evolution in fault-tolerant orchestration at scale, design reliable systems, and influence teams across the organization to enhance recovery workflows.

The Staff Engineer will innovate and build systems, lead technical strategies, enhance existing platforms, and mentor teams in software development, requiring expertise in system design and open-source databases.

The Senior Staff Engineer will lead technical strategies, innovate systems, mentor engineers, improve processes, and develop high-performance applications for GEICO's transformation.

As a Senior Java Engineer, you will design and build scalable systems, mentor engineers, and lead design sessions while utilizing modern technologies.

Respond to and mitigate sophisticated security incidents across cloud and host environments. Perform cloud IR (AWS/Azure/GCP), host-based forensics on Windows/Linux/Mac, network packet analysis, root cause analysis, and detection tuning. Produce technical documentation and support remediation, threat actor attribution, and development of incident response capabilities.

Lead the development of GEICO's AI virtual agent platform, overseeing design, implementation, and collaboration with cross-functional teams, while mentoring junior engineers.

The role involves leading the technical design and architecture of AI/ML platforms, managing cross-functional collaborations, and mentoring engineers while ensuring high performance and reliability of the systems.