AI-Native Fullstack Engineer (DevOps) — Hybrid & Observability

United States Digital Space LLC; United States; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Health offers

Pension plans

Employee discounts

Job summary

United States Digital Space LLC in the United States is seeking a Senior AI‑Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI‑powered applications, SaaS platforms and cloud‑native solutions.

This role blends application engineering with infrastructure ownership, building services, APIs, automation and internal tools while also running cloud infrastructure, deployments and production operations.

Qualifications

• Hands-on use of Claude Code, Codex or similar AI tools with agent-based development and testing.
• Strong fullstack or backend engineering experience, especially with TypeScript; production services, APIs and automation.
• Experience across application and infrastructure code, deployments and runtimes.

Responsibilities

• Fullstack Engineering: Build services, APIs, scripts, automation, internal tools and lightweight frontend functionality in TypeScript.
• Infrastructure & Cloud Setup: Use IaC (AWS CDK) to pattern cloud across containers, databases, queues, storage, DNS and secrets.
• ECS Fargate Operations: Deploy and troubleshoot ECS Fargate workloads, including definitions, services and logs.
• Security, Observability & Troubleshooting: Manage IAM, least privilege, secrets, metrics, alarms and incident response.

Skills

AI-Native Development & Ops

Fullstack / Backend Engineering

TypeScript

AWS

IaC

DevOps

Observability

ECS Fargate

Tools

AWS CDK (TypeScript)

IAM

Job description

United States Digital Space LLC in the United States is seeking a Senior AI‑Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI‑powered applications, SaaS platforms and cloud‑native solutions.

This role blends application engineering with infrastructure ownership, building services, APIs, automation and internal tools while also running cloud infrastructure, deployments and production operations.