Top Remote Linux Jobs in San Diego, CA

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.

Designs and optimizes system architecture to meet business needs, providing expertise in technology and process improvement, and supporting implementation across teams.

The Design Manager/Project Manager leads design-build projects, develops plans, oversees engineering services, and mentors junior staff in transportation infrastructure.

The intern will assist engineers in project tasks like quantity take-offs, monitoring, computer modeling, and producing engineering drawings under supervision while gaining real-world experience.

The intern will assist engineering staff with project support, manage tasks like quantity take-offs, project monitoring, and computer modeling, while enhancing skills through collaboration.

The role involves leading a team in design and human factors engineering for delivery devices, ensuring compliance with regulations and enhancing product innovation.

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.

As a Senior DevOps Engineer, you will build and maintain scalable cloud systems, improve CI/CD processes, automate deployments, and support engineering teams.

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.

Design end-to-end circuits for service delivery, monitor network capacity, coordinate with vendors, and resolve provisioning issues while supporting internal departments.

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.

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.

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