{"schemaVersion":"jobsearcher.job.v1","id":"21e875bc5ab9fdf5c0efdc87","url":"https://jobsearcher.com/jobs/21e875bc5ab9fdf5c0efdc87","canonicalUrl":"https://jobsearcher.com/jobs/21e875bc5ab9fdf5c0efdc87","title":"Full Stack Engineer","description":"Full stack DeveloperTempe, AZ - OnsiteExperience :: 10+ Visa :: H4 ead , OPT , USC , L2EAD ResponsibilitiesModern Frontend: Strong hands-on experience with JavaScript/TypeScript and React (or similar frameworks), building scalable, responsive, and user-friendly applications. Demonstrates expertise in component design, state management, performance optimization, and delivering intuitive user experiences.Backend & Databases: Hands-on experience designing and developing RESTful APIs, backend services, and database-driven applications. Strong understanding of data modeling, schema migrations, authentication, and scalable service architecture.Cloud Infrastructure: Experience designing and deploying cloud-native solutions on AWS, including serverless architectures using Lambda, API Gateway, S3, and DynamoDB. Able to evaluate architectural tradeoffs between serverless and container-based platforms such as ECS/EKS.AI/ML & RAG: Practical experience building Generative AI and Retrieval-Augmented Generation (RAG) solutions, including vector databases, embeddings, and retrieval pipelines. Understands model evaluation, prompt engineering, and designing AI applications for enterprise use cases.Ownership & Self-Driven Execution: Highly self-driven with a strong ownership mindset, capable of independently driving projects from design through production deployment. Proactively identifies challenges, proposes solutions, and delivers results with minimal oversight.Resume Ownership: Able to confidently discuss any technology listed on their resume, including implementation details, design decisions, and technical tradeoffs. Demonstrates depth of understanding through real-world examples and lessons learned from hands-on experience.Full-Stack Engineering: Strong full-stack development experience spanning frontend, backend, cloud infrastructure, and deployment pipelines. Capable of architecting, building, troubleshooting, and enhancing production-grade applications end-to-end.","company":"Xaxis Solutions","rawCompany":"xaxis solutions","city":"Tempe","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-08-23T07:41:37.669Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Engineer","description":"Full stack DeveloperTempe, AZ - OnsiteExperience :: 10+ Visa :: H4 ead , OPT , USC , L2EAD ResponsibilitiesModern Frontend: Strong hands-on experience with JavaScript/TypeScript and React (or similar frameworks), building scalable, responsive, and user-friendly applications. Demonstrates expertise in component design, state management, performance optimization, and delivering intuitive user experiences.Backend & Databases: Hands-on experience designing and developing RESTful APIs, backend services, and database-driven applications. Strong understanding of data modeling, schema migrations, authentication, and scalable service architecture.Cloud Infrastructure: Experience designing and deploying cloud-native solutions on AWS, including serverless architectures using Lambda, API Gateway, S3, and DynamoDB. Able to evaluate architectural tradeoffs between serverless and container-based platforms such as ECS/EKS.AI/ML & RAG: Practical experience building Generative AI and Retrieval-Augmented Generation (RAG) solutions, including vector databases, embeddings, and retrieval pipelines. 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