Top Linux Jobs in San Diego, CA

Looking for a senior software engineer with backend expertise and front-end experience to lead architecture, manage systems, and mentor others, while collaborating with the CTO.

Veda seeks engineers for its talent network to work on complex data management problems in healthcare, focusing on collaboration and integrity.

Design and implement web-based GIS features and platforms for VETRO's fiber management software. Build mapping and tile-server systems, integrate web services, support production systems, triage bugs, and participate in on-call rotations while working with cloud-native architectures and large relational/spatial datasets.

Design and implement transaction monitoring and sanction screening systems, developing REST services, and enhancing microservices architecture while maintaining web-based applications.

As a Senior Software Engineer, you will architect scalable solutions, produce quality code, and maintain automated testing while understanding customer needs.

Assist electricians with residential solar panel installations, wiring, troubleshooting, and general installation tasks (roof/ground mounts). Must be comfortable on ladders and in attics; customer-facing and team-oriented entry-level role with apprenticeship potential.

Responsible for deploying, upgrading, and maintaining High-Speed Data infrastructure, focusing on operational management, troubleshooting, and engineering solutions for critical Internet services.

The Staff Platform Engineer will build and scale backend systems, mentor engineers, and drive technical excellence, collaborating with various stakeholders.

Build enterprise-grade features for multi-location customers: frontend React+TypeScript interfaces, admin consoles, backend APIs, SSO/RBAC security, multi-tenant PostgreSQL architectures, and well-tested, maintainable code.

The Lead Data Infrastructure Engineer will scale and improve the reliability of data infrastructure, build data processing pipelines, and store large-scale data for machine learning models, particularly in energy forecasting.