multi-tenant-systems jobs in San Diego

Founding Product Engineer at a safety/operations software company building AI-powered dashboards, compliance analytics, and agentic features across edge and cloud infrastructure. You'll own full-stack problems end-to-end—from AWS/container infrastructure and backend services (Go, Python, Java) through real-time frontends (TypeScript/JavaScript) to direct customer deployment and iteration.…See more Expected to ship fast, work across infrastructure, product, and AI agent layers, and demonstrate genuine range across the stack with 7+ years of software engineering experience.

Founding Product Engineer to build a greenfield Physical AI product for fleet safety and operations. The role spans full-stack development across cloud infrastructure (AWS, containers, CI/CD), multi-tenant backend systems with RBAC and SSO, real-time dashboards, compliance analytics, and AI-agentic features for alert triage and coaching workflows.…See more You'll own end-to-end problems from edge devices to cloud to user experience, shipping fast with direct customer feedback, and working across backend (Go, Python, Java), frontend (TypeScript/JavaScript), infrastructure, and AI integration. Requires 7+ years of software engineering with demonstrated range across multiple technical disciplines.

Lead multiple UI engineering teams building modern, scalable, AI-first user experiences for Teradata's cloud analytics platform. Own frontend architecture strategy using React and TypeScript, mentor engineering managers and senior engineers, and partner with product, design, and platform teams to translate AI capabilities into intuitive workflows.…See more This hands-on leadership role requires 12+ years of software engineering experience with 5+ years in engineering leadership, deep React expertise, and demonstrated ability to drive execution across organizational boundaries in fast-paced, platform-oriented environments.

Own the complete release and deployment strategy for Elemynt's secure AI infrastructure platform, building systems that ensure every release is versioned, reproducible, observable, and safe to operate across enterprise and scientific computing environments. Design and implement deployment automation, CI/CD pipelines, artifact management, and operational visibility (logs, metrics, alerts) that work reliably in customer-managed and restricted environments.…See more Debug incidents, identify root causes, and systematize fixes into reusable automation. Partner with product and engineering teams to embed deployment readiness into the platform from the start.