Top Linux Jobs in San Diego, CA

Seeking a Senior Computational Software Engineer to develop high-performance cloud software for renewable energy projects, focusing on automation and optimization.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

Design, develop, and maintain scalable Salesforce solutions (Apex, LWC, Flows, Visualforce). Build integrations (REST/SOAP, Workato, Platform Events), ensure security and CI/CD, mentor junior developers, support stakeholders, and optimize CRM capabilities across Sales/Service/Revenue/CPQ and Marketing Cloud.

As an AI Vision Solution Architect, you'll design AI-powered solutions, collaborate with teams, manage projects, and cultivate customer relationships to enhance product evolution.

Oversee engineering operations, optimize project delivery, manage teams, improve processes, ensure operational excellence, and maintain compliance practices while contributing as a player-coach.

Join Hi Marley's engineering team as a Software Engineer, where you will build and improve product features, write clean code, and collaborate with your team in a supportive environment.

As a GTM Engineer, you will design and implement automated systems for sales processes, leverage AI for insights, and optimize workflows for revenue impact, working closely with sales and marketing teams.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

The Principal Forward Deployed Engineer will lead client engagements, architect custom systems leveraging AI and optimization, and mentor team members, ensuring high standards in technical execution and client relationships.

This role involves building and QA systems for reinforcement learning environments, focusing on design, effectiveness, and scaling while collaborating with AI researchers.