Top Linux Jobs in San Diego, CA

Design and develop the Order Management System to support trading operations, ensuring compliance with finance regulations and application performance.

Develop and maintain web applications for clinical staff at Charlie Health, focusing on delivering high-quality features that support group-based care and improve engineering processes.

As a full-stack engineer, you'll architect and implement features, manage onboarding flows, and optimize online shopping infrastructures using Typescript, React, and Node.

The role involves leading the architecture and solution ownership for NSAW implementations, data engineering, SQL transformations, and analytics delivery, ensuring data integrity and executive-level reporting.

Lead mechanical integrity and process safety programs at a polystyrene plant, including inspections, CUI management, SIS testing, fire protection, PHAs/LOPA, MOC coordination, incident investigations, training, metrics reporting, and corrective action management to ensure PSM compliance and continuous improvement.

Install and configure Corvus One hardware systems, manage implementation projects, respond to robotics operations, and educate customers on AI.

Multiple full-time IT openings at Thinix/RDI in Milford, IA spanning help desk, programming, R&D, network engineering, wireless/4G-5G management, and technology sales. Roles offer professional growth, strong benefits, training, and a collaborative environment. Candidates with any technology background encouraged to apply.

The Chief Architect will lead the technical direction for Legion's Workforce Management platform, focusing on architecture decisions, AI systems, and scalable software solutions. Responsibilities include hands-on coding, technical leadership, and ensuring systems meet enterprise standards for performance and security.

The UI Developer designs and develops software programs, focusing on user interaction, collaborating with architects to enhance user experience.

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.