Top Remote Linux Jobs in San Diego, CA

As an Automation Engineer, you will design and implement AI-driven automation solutions, develop AI agents, and ensure integration with enterprise systems. Responsibilities include collaborating with stakeholders, overseeing AI agent lifecycle, and mentoring junior developers. Proficiency in Python and familiarity with AI services are essential.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

As a Senior Full Stack Engineer, you'll create full-stack features, collaborate with teams, and mentor others while ensuring system performance and scalability.

As a Senior Systems Engineer II, you will lead stakeholder discussions, manage system requirements, support software services for cardiac health, and conduct compliance assessments while collaborating with cross-functional teams.

Lead technical delivery for enterprise clients, develop engineering teams, shape AI strategy, and make key architecture decisions.

The Senior Geospatial Data Engineer will design and implement cloud-based geospatial data infrastructures, optimize data processes, and lead project collaborations within the team.

As a Senior Site Reliability Engineer, you will design, develop, and maintain reliable infrastructure for Wikimedia's API services, ensuring performance and availability while driving reliability engineering practices and improving developer experience.

The role involves building Python-based data pipelines for large autonomy datasets, developing cloud-based tools, and collaborating on data-driven decision-making for autonomous systems.

Develop and maintain native Windows endpoint functionality for Keeper's PAM platform, ensuring software is secure and high-performance. Troubleshoot issues and collaborate with engineering teams on architecture and implementation.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.