Fullstack Developer_Tempe, AZ
At a glance
Mid-level Full-stack Engineering role at Fa Ertb Saasfaprod1. United States · full-time · $56,000–$196,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build responsive interfaces with JavaScript or TypeScript and React, shaping components and improving state handling and speed
- Design REST APIs and Node services, including authentication and architecture that can scale
- Deploy AWS solutions using services such as Lambda, API Gateway, S3 and DynamoDB, weighing serverless against containers
- Develop generative AI and RAG workflows with embeddings, vector stores and retrieval pipelines
- Take applications from design through production, handling frontend, backend, cloud setup and deployment troubleshooting
What you bring
- At least ten years building frontend applications with JavaScript or TypeScript and React or a comparable framework
- At least ten years developing REST APIs and backend services in TypeScript with Node
- Hands-on AWS deployment experience, plus practical work on generative AI and RAG solutions
- You can explain the technologies on your resume, including design choices and tradeoffs, with examples from your work
Who this fits
This role suits a self-directed full-stack developer who can carry projects through production with little oversight. It is available to independent contractors as well as full-time employees.
From the employer
- Modern Frontend: 10+ years of 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: 10+ years of hands-on experience designing and developing RESTful APIs, backend services using Typescript (Node) and Strong understanding of 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.
Compensation, Benefits and Duration
Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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