Top Remote Linux Jobs in San Diego, CA

The Senior Infrastructure Engineer will design, implement, and manage scalable cloud and on-premise infrastructure, emphasizing security and automation, collaborating with cross-functional teams.

The Senior DevOps & Cloud Engineer manages Azure infrastructure, ensures application reliability, promotes DevOps practices, mentors team members, and supports customer issues.

The Sr. Software Engineer will develop and test applications using .NET and SQL, collaborate with teams, ensure quality practices, and maintain technical documentation. They will contribute to software design and process improvements while adapting to changing environments in payment systems.

Build and ship customer-facing features across the stack for Conduit Healths AI-powered platform. Implement end-to-end product features, design architecture, integrate external APIs and LLM/agentic tools, automate fulfillment workflows, run experiments, and elevate engineering practices on a small, fast-growing team.

Drive frontend SDK development, focusing on performance, architecture, and developer documentation with React and Javascript technologies.

As a Senior Full Stack Software Engineer, you'll develop and ship products across the tech stack, influencing product direction and company culture while collaborating closely with team members.

The Deployment Engineer will implement and maintain cloud-connected drones, troubleshoot connectivity, and liaise with clients for successful deployment, ensuring technical specifications are met.

The Sustainability Engineer will lead technical support for radiopharmaceutical preparation, manage tech transfer and manufacturing, and ensure regulatory compliance while engaging in continuous improvement efforts.

As a Senior Frontend Engineer, you'll develop UI features for the AI voice platform, working with React and TypeScript while collaborating on backend systems and leading projects from concept to launch.

The role involves developing scalable safety infrastructure, APIs, and monitoring systems while collaborating with ML engineers to integrate AI models into production.