Top Tech Jobs & Startup Jobs in Seattle, WA

The role involves designing and delivering impactful learning experiences to enhance organizational capability and support transformation initiatives. It requires creating learning content, conducting training, and collaborating with leaders to identify and bridge capability gaps.

The Database Reliability Engineer manages and maintains cloud-based database infrastructures for SaaS applications, focusing on automation, process improvement, and collaboration with engineering teams.

The Principal AI Engineer will lead AI system design across SaaS solutions, prioritize AI use cases, build scalable solutions, and mentor teams on AI governance and best practices.

The Software Engineering Manager will lead Agile teams, oversee technical design, ensure project delivery, and drive an AI-first culture.

Lead multiple Agile teams to deliver high-quality software solutions, focusing on technical design, project execution, and alignment with business goals.

Lead support improvements in healthcare software applications, act as a product expert for customer support, and optimize support processes across teams. Responsibilities include supporting technical teams, training, conducting investigations, and improving product supportability.

As a Principal Software Data Engineer, you'll lead the design, development, and optimization of large-scale data platforms and pipelines, ensuring data governance and driving innovation in a collaborative environment.

As a Senior Application Engineer, you will develop AI agents using Salesforce Agentforce, create automations, and troubleshoot complex issues while collaborating with teams and mentoring junior engineers.

The Senior Software Engineer will develop and maintain big data applications, focusing on distributed computing, automation, and collaboration with teams to enhance healthcare solutions.

Lead end-to-end delivery of complex projects and embedded workstreams within enterprise transformation programs. Serve as primary client liaison, manage scope/budget/timeline, coordinate vendors and stakeholders, drive risk and change management, integrate OCM, and improve PMO capabilities using data and AI-enabled insights.