relational-database-design jobs in San Diego

Business Systems Analyst III responsible for software release management of designated applications, with potential to mentor junior analysts. The role requires strong client-facing skills, requirements gathering, and the ability to translate technical concepts for non-technical audiences.…See more Key technical competencies include SQL, Oracle database experience, relational database concepts, Agile/Waterfall methodologies, and tools like Microsoft Visio and Project. The position demands collaboration across project teams, prioritization under changing deadlines, and familiarity with PBM business models and pharmaceutical practices.

Software engineer developing oncology applications that integrate laboratory systems, data pipelines, and enterprise platforms. The role requires building AI-enabled capabilities (information retrieval, NLP extraction, summarization), deploying on Lilly cloud infrastructure, and owning application reliability and lifecycle.…See more Requires 4+ years of software engineering experience with BS/MS in computer science or related field; strong Python or modern server-side language skills, web frameworks (Django, Flask, Rails), front-end development, cloud deployment (AWS preferred), CI/CD, containerization, and familiarity with LLM APIs and agentic patterns are preferred.

Staff-level backend engineer responsible for architecting and developing scalable, enterprise-class applications at Intuit with a focus on AI integration. The role involves driving significant technology initiatives across multiple architectural layers, designing durable software solutions that interact with numerous systems, and launching AI integrations into production while evaluating their impact.…See more Requires 7+ years of experience delivering enterprise applications, proficiency in Java, microservices, Kubernetes, relational and NoSQL databases, CI/CD pipelines, and practical experience with LLM prompting and AI model evaluation. The engineer will mentor junior staff, communicate technical recommendations across organizational levels, and collaborate with cross-functional teams including data scientists and product managers.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architectural layers at Intuit. Architect and develop scalable, secure, maintainable applications using microservices, containers, and cloud platforms while proactively integrating AI technologies.…See more Mentor junior engineers on software engineering best practices, AI integration, and technical expertise. Launch AI integrations in production, evaluate impact using metrics, and stay abreast of industry best practices to solve critical customer problems.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architecture layers at Intuit. Responsible for architecting and developing scalable, secure applications using microservices and cloud technologies, with a focus on integrating AI models (LLM prompting, AutoML) into production systems.…See more Will mentor junior engineers on software best practices and AI integration, evaluate AI performance metrics, and stay current with emerging technologies. Requires 7+ years delivering enterprise-class applications with strong full-stack capabilities spanning front-end (JavaScript), mid-tier (Java), databases (SQL/NoSQL), and cloud/container platforms (Kubernetes, cloud environments).

Staff Software Engineer responsible for driving significant technology initiatives end-to-end across multiple architecture layers, designing and developing scalable, secure applications that solve critical customer problems. The role requires architecting microservices-based systems, integrating AI technologies (LLMs, AutoML) into production applications, and mentoring junior engineers on software best practices.…See more Candidates must have 9+ years of enterprise application development experience with proficiency in JavaScript, Java, Kubernetes, SQL/NoSQL databases, CI/CD pipelines, and practical AI integration skills including LLM prompting and production performance monitoring.