Top Linux Jobs in San Diego, CA

Own and design Orenda's business systems portfolio including a DER project source-of-truth database, Salesforce and construction management deployments, and ERP implementation. Build and maintain integrations, design scalable data models and processes, prototype AI/LLM efficiencies, and document systems for stakeholder enablement and operations.

Lead and mentor platform engineering teams to design, build, and operate scalable, reliable foundational services. Set technical strategy, drive large-scale initiatives, improve testing and reliability practices, manage platform costs and third-party tools, and participate in incident response and on-call. Collaborate cross-functionally, promote AI-assisted engineering responsibly, and ensure compliance with PCI/SOX/NIST standards while delivering high-quality engineering outcomes.

Design, develop, and maintain Closinglock web applications. Contribute across the full software lifecycle, build RESTful APIs, collaborate with senior engineers, and support testing, CI/CD, and deployments to AWS.

Lead technical direction and architecture, mentor engineers, build AI-powered features, and engage with customers to enhance product development.

You will develop and maintain backend systems for a platform analyzing in-person sales conversations while collaborating with product and design teams, ensuring the technical excellence of features.

As Sr. Platform Engineer, you will develop tools and frameworks for Aha! engineers, optimize performance, and manage AWS infrastructure.

The role involves leading technical solutions for enterprise clients in industrial automation, engaging stakeholders to drive deployments, and creating frameworks for evaluation and architecture in OT security contexts.

Lead the GitHub Copilot rollout and training, create adoption standards, coach developers, and improve AI usage in development workflows.

As a Software Engineer for the AI Platform, you will design, develop, and implement scalable applications, focusing on AI-driven systems and platform engineering, while collaborating with cross-functional teams.

Design and build infrastructure for card issuing products, integrating AI services, collaborating on security compliance, and overseeing system performance.