Top Software Engineer Jobs in Spokane, WA

Lead the development of user-facing features, collaborate with team members, and mentor others while ensuring a high quality of software design and implementation.

The Senior Front-End Software Engineer will create high-quality React applications, manage UI architecture, and leverage AI tools for development optimization, while collaborating in an Agile team.

The Database Engineer will implement and maintain PostgreSQL databases for a 24/7 SaaS platform, ensuring performance, scalability, and high availability while supporting data needs, guiding developers, and adhering to security policies.

The AI Software Engineer will design and implement AI solutions, lead pilot programs, and integrate AI into existing systems while ensuring optimal performance and scalability.

Leads the Engineering team, driving automation, improving operational efficiency, and overseeing project execution for scalable technology solutions while ensuring compliance and team leadership.

The role involves design, development, and maintenance of Epic Pharmacy systems, collaborating with the pharmacy and clinical teams to optimize workflows and ensure safety.

The Senior Fullstack Engineer will implement code generation techniques, lead projects, and collaborate with a global team while focusing on speed and technical excellence.

Lead the engineering team at Common Room, managing complex projects, mentoring engineers, and ensuring high-quality system delivery while participating in company-building initiatives.

The Data Visualization Engineer will develop user experiences focused on data visualization using technologies like TypeScript, React, and Remix, while collaborating on various projects within the team.

Lead technical vision for ML-oriented data products, architect and build distributed data systems, ensuring reliability and observability. Provide mentorship and shape data architecture decisions to support ML needs.

This role involves developing low-latency data products and building reliable distributed data systems to support algorithms and machine learning at Netflix.

Develop and maintain web-based tools for AI/ML practitioners, improve model observability, enhance user experience, and collaborate cross-functionally. Drive product excellence and improve systems and codebase.