AI-First Full-Stack Engineer for Data Platform (Remote)

United States Digital Space LLC; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible work arrangements (remote or 

Competitive salary and benefits

Job summary

United States Digital Space LLC is seeking an AI-First Software Engineer to design and implement features across the full stack of its Data Intelligence Platform. You will actively use AI tools to accelerate development, while maintaining high standards for correctness, performance, and security.

You will collaborate with product managers and cross-functional teams to ship end-to-end features in a production SaaS environment on AWS, Docker, and Kubernetes, with a strong emphasis on code quality

Qualifications

• Proven track record as a fullstack engineer delivering SaaS features.
• Experience with data governance or metadata management platforms is a plus.
• Strong command of cloud fundamentals, especially AWS, and production-grade code.

Responsibilities

• Design and implement features across the full stack of the Data Intelligence Platform.
• Leverage AI tools to speed development while maintaining engineering judgment.
• Participate in design reviews, code reviews, and incident response with a security-first mindset.
• Collaborate with product managers to translate requirements into technical solutions.

Skills

Fullstack engineer

Scala/Java backend

TypeScript frontend

Angular

AWS

Docker

Kubernetes

CI/CD

English proficiency

Tools

GitHub Actions

Job description

United States Digital Space LLC is seeking an AI-First Software Engineer to design and implement features across the full stack of its Data Intelligence Platform. You will actively use AI tools to accelerate development, while maintaining high standards for correctness, performance, and security.

You will collaborate with product managers and cross-functional teams to ship end-to-end features in a production SaaS environment on AWS, Docker, and Kubernetes, with a strong emphasis on code quality