Top Remote Linux Jobs in San Diego, CA

Lead GPU cluster design and operations, manage Kubernetes, implement Infrastructure-as-Code, and develop observability stacks for high-performance AI models.

The role involves building and maintaining best-in-class iOS, tvOS, and macOS apps, defining architecture, collaborating with teams, and enhancing engineering practices.

As a DevOps Engineer, enhance and maintain cloud infrastructure, optimize CI/CD pipelines, and collaborate with teams to improve automation, reliability, and security.

The Staff Cloud Platform Engineer will lead the design and development of cloud infrastructure, improve scalability, and mentor engineers while driving cross-functional initiatives.

As a Data Engineer, you will architect and implement data solutions, collaborate with cross-functional teams, and support AI and ML tasks while managing data pipelines using technologies like Databricks and AWS.

As a Full Stack Engineer, you will lead software solutions design, develop APIs, perform testing, and maintain applications while ensuring best practices and collaboration within agile teams.

The Senior Site Reliability Engineer ensures production system reliability through automation, monitoring and operational excellence, collaborating with engineering teams.

As a Senior Software Engineer focusing on Agentic Systems, you will develop new features for our Conversational Video Interface and enhance human-computer interactions. You will also work across the product stack while ensuring system reliability and observability.

The Senior Software Engineer (CVI) will drive development in Tavus' Conversational Video Interface product, focusing on new feature delivery and integration of real-time models while ensuring product reliability.

Implement full stack changes on Ameelio Connect, support team with code reviews, maintain code quality, and investigate customer issues.

The Integration Specialist will help with startup and system integration of PLC-controlled equipment, performing testing and troubleshooting while collaborating with technicians and engineers.

This role involves deploying, optimizing, and extending Spice.ai solutions in production environments, collaborating on product improvements, and working directly with customers to drive AI adoption.