AI-Enabled Full-Stack Web Apps Engineer (Hybrid)

University of California - Davis; Davis (CA); Hybrid; USD 81,000 - 147,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

University of California - Davis is seeking a Web Applications Developer to design, develop, test, and deploy secure web and mobile applications across the UC system. You will work on medium-sized projects, collaborating with cross-functional teams to translate business needs into robust technical solutions while applying security best practices and emerging AI-assisted tools.

The role emphasizes high performance, reliability, and full life-cycle development, with opportunities to explore

Qualifications

• Bachelor's degree or equivalent in Computer Science, Information Systems, or related field
• At least two years of full stack software development experience in production environments
• Experience with Javascript/Typescript, REST APIs, GraphQL, and NoSQL databases
• Ability to translate business requirements into technical specifications and solutions
• Strong written and verbal communication skills and ability to work independently and with stakeholders

Responsibilities

• Develop and support medium-sized web and mobile applications across the UC system
• Collaborate with cross-functional teams to translate requirements into robust solutions
• Research and integrate emerging technologies, including AI-assisted development tools, to improve code quality and performance

Skills

Full stack development

JavaScript/TypeScript

REST APIs/GraphQL

AI tools experience

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Docker/Kubernetes

Cloud platforms (AWS/Azure/GCP)

NoSQL databases

Job description

University of California - Davis is seeking a Web Applications Developer to design, develop, test, and deploy secure web and mobile applications across the UC system. You will work on medium-sized projects, collaborating with cross-functional teams to translate business needs into robust technical solutions while applying security best practices and emerging AI-assisted tools.

The role emphasizes high performance, reliability, and full life-cycle development, with opportunities to explore